Data Science Resume Samples

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L Stark

Lina

Stark

13381 Hauck Islands

Detroit

+1 (555) 795 5486

13381 Hauck Islands

Detroit

Phone

p +1 (555) 795 5486

Experience Experience

New York, NY

Intern, Data Science

New York, NY

Abbott LLC

New York, NY

Intern, Data Science

Designing and implementing machine learning solutions with tasks ranging from feature selection, classification, clustering, time series analysis and much more
Writing SQL or P code for cleaning the data and for developing statistical models
Analyzing data with standard statistical methods, interpreting the results, and developing recommendations that can be implemented
Data Engineering – building the pipelines and tools for data transfer and share
Carry out tasks encompassing data cleansing and data normalization
Conduct research on methodology enhancements using weighting techniques
Conduct research on methodology enhancements using non-traditional weighting techniques

Los Angeles, CA

Data Science

Los Angeles, CA

Hyatt-Koch

Los Angeles, CA

Data Science

Perform EDA and feature engineering to both inform the development of statistical models and generate improve model performance and flexibility
Work with Capgemini’s global data science leadership to execute identified business use cases on time and manage project delivery / client expectations
Provide analysis using mathematical modeling tools to improve business processes and decisions
Leverage data to perform intensive analysis across all areas of our business to drive product development
Assist with the mentorship and development of junior staff
Assist with the development of standardize reporting solutions that align metrics and drivers with the associated financials
Create dashboards and reports to regularly communicate results and monitor key metrics

present

Los Angeles, CA

Director of Data Science

Los Angeles, CA

Schmidt, Koepp and Bergnaum

present

Los Angeles, CA

Director of Data Science

present

Grow and manage a world-class platform and team for rapid product research, development, deployment and improvement
Manage data scientists to help execute on your strategic vision
Provides leadership in advanced engineering, data science and analytics in the development of current or future products or technologies
Collaborate with investment and client-facing teams to develop solutions to address research and business challenges
Maintain and update standards to assess and document modeling process and performance
Mentor junior team members and create training and growth opportunities
Work specifically in a variety of areas: Machine Learning, Artificial Intelligence, Large scale cookie and account level analysis, and more

Education Education

Bachelor’s Degree in Computer Science

Bowling Green State University

Bachelor’s Degree in Computer Science

Skills Skills

Good knowledge of shell scripting
Highly analytical and able to extract key insights from data then communicate them clearly and effectively to stakeholders
Dig through our extensive datasets to find actionable insights for city teams
Strong experience in predictive modelling using R/Python
Strong programming background in at least one - Java, Scala or other object oriented programming languages
Strong command over Big Data technologies – HADOOP, HIVE, PIG, Spark-MLlib
Expertise in handling large data volumes MPP databases like Teradata/Greenplum and high proficiency in SQL
Experienced professional with at least 8-10 experience working across Analytics & Machine Learning domain
CS Background good as well
Strong Stats / Math background

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Director, Analytics & Data Science Resume Examples & Samples

Develop/implement advanced analytic solutions to optimize multi-channel (web, email, offline) direct marketing campaign performance including but not limit to response modeling, campaign effectiveness, targeting etc
Develop credit risk and marketing scorecards
Develop and understand the statistical needs across the organization in order to design, develop, and deploy systematic improvements across the organization
Assess and enhance the existing model monitoring process in accordance with regulatory rules
Create new models, track established models and apply statistical thinkin
Perform complex analyses, simulation and optimization using statistical techniques to support credit decisions
Review and analyze trends, research new methodology/data sources, and recommend strategy changes or process enhancements
4-Year degree in quantitative fields such as Statistics, Mathematics, Operational Research, Engineering, Economics or related field required
5+ years' experience in statistical model development and scorecard development preferably with small business lending experience
Knowledge and experience with direct marketing metrics (multichannel marketing attribution, response modeling, customer analytics, segmentation, LTV
5+ years in senior level management experiences, preferred
Knowledge of SAS, SQL (or other statistical and data mining platforms ) and Microsoft suite of products
Knowledge of business intelligence/reporting tools (e.g. Business Objects, Cognos, Microstrategy, etc.) and database marketing technology
Mastery of machine learning and data mining Knowledge and understanding of Big Data and NoSQL technologies helpful

Software Engineer, Applied Data Science Resume Examples & Samples

Continuously design, develop, and test data-driven solutions to practical problems both well-defined and open-ended
Help drive the optimization and analysis agenda of the core promotional and advertising platform
Develop measurement approaches and leverage these to evaluate performance continuously
Leverage a wide array of data processing infrastructure technologies (batch and real-time) in your work
Span languages as needed, depending on the data processing framework in use
Collaborative with software engineers, ML experts, and others, taking learning and leadership opportunities that will arise every single day
Work as part of highly-dynamic cross-functional agile teams in a variety of lightweight processes to drive and deliver on new product objectives

Data Science Resume Examples & Samples

Reframe business, product, and editorial objectives as machine learning tasks that can deliver actionable insights and accurate predictions
Execute your machine learning research with reliability and reproducibility
Communicate results to scientific, business, and editorial stakeholders
Collaborate with engineering teams to productionalize your research
PhD or 4+ years experience in computer science, applied mathematics, or other quantitative/computational discipline
2+ years experience with open source machine learning tools built in Python or R
Preferred: experience with MapReduce/Hadoop and related technologies (e.g., Pig, Hive, Cascading). Familiarity with Amazon Web Services and Elastic MapReduce a plus
Commitment to the The Times’ mission of delivering the world's best journalism
Excellent analytical and problem-solving skills
Ability to gauge the complexity of machine learning problems and a willingness to try simple approaches for quick effective solutions

Data Science Software Architect Resume Examples & Samples

Bachelor’s degree in Computer Science, Engineering, or related discipline or equivalent experience with a minimum of three to five years in delivering or maintaining web products in a production environment
Data engineering experience, including SQL and manipulating large structured or unstructured datasets for analysis
Three plus years of scripting language experience

Data Science Specialist Resume Examples & Samples

Develop and enhance predictive models
Conduct advanced analytics using appropriate methods: Regression analysis, cluster analysis, decision trees etc
Analyze marketing campaigns to determine success and uncover opportunities for improvement
Strategic analysis that supports executive decision making
Work with Marketing Managers to ensure appropriate experimental design and effective campaign targeting
Manage the creation and deployment of related marketing campaign lists using both SQL and Marketing Automation tools (e.g. IBM Campaign)
Create business analyses using SAS to understand key trends and identify customer usage behaviours that will drive decision making
Applicable bachelors degree (e.g. statistics, business, computer science etc.)
At least 1 year experience in performing statistical hypothesis tests and predictive modeling
Expert knowledge/experience of SAS, including SAS Base/Graph/Macro/SQL/ODS/STAT
Knowledge and experience with data modeling/ data mining technique, including regression methods, decision trees, neural network, etc
Superior communication skills - both written and oral
Ability to leverage insights and opportunities from data and metrics to build strategies that lift the overall performance of the business
Advanced degree (e.g. MBA, graduate degree in BI, statistics, math etc.)
Experience in SAS Enterprise Miner
Experience in R programing
Experience with major campaign management solutions (e.g. Unica / IBM Campaign, Marketo)
Telco experience/experience with Mobile
Direct marketing experience
Experience with business to business sales and prospect data
Knowledge of data matching (e.g. SAS DataFlux)
Knowledge of data visualization,
Experience in customer behaviour analytics, experimental design and database management

Data Science Internship Resume Examples & Samples

Excellent organization skills, communication skills, data analysis, process improvement, and project management experience
Experience or practice writing programs in R, STATA or similar statistical package
Understands and can articulate the basics of Regression, Logistic Regression and Clustering Analysis
Experience in SQL
Working toward Bachelors, Masters or PHD degree in statistics, mathematics, analytics, software engineering or related field
Data matching and clean up
Project based work defined by the CME Group Market research and Data Science team
Gather, analyze, prepare, and summarize recommendations for CME Group Marketing Data Science initiatives

Summer Data Science Internship Resume Examples & Samples

Has or is working toward a PhD in Computer Science, Statistics, Machine Learning, Mathematics, or other quantitative discipline
Expert level in at least one of the following: machine learning, statistics, visualization, data engineering, natural language processing
Read and write code. R, Python, D3. SQL fluency
Must have strong verbal and written communication skills. Must be able to communicate results of analyses in a clear and effective manner

DCG Big Data-data Science Grad Intern Resume Examples & Samples

Must be pursuing a MS degree in a quantitative discipline such as Mathematics, Computer Science or Electrical Engineering
A minimum of two graduate-level courses in Applied Statistics, Machine Learning, NLP or similar
A minimum of three months experience in Python programming
A minimum of three months experience with Big Data Analytics technologies

Data Science Expert Resume Examples & Samples

Leads a project team of other software applications engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for assigned applications portion or subsystem
Collaborates and communicates with management, internal, and outsourced development partners regarding software applications design status, project progress, and issue resolution
Represents the software applications engineering team for all phases of larger and more-complex development projects
Bachelor's or Master's degree in Computer Science, Mathematics, or equivalent
Minimum 10-12 years experience
Experience in Agile scrum or Kanban

Credit Data Science Data Science Expert Resume Examples & Samples

Work collaboratively in a small team to answer focused, data-dependent questions derived from working with a Credit Markets business head
Assess ways to utilize data to enhance aspects of the business
Create interfaces, store, cleanse, and standardize relevant data sets
Implement data-driven strategies by working closely with trading, sales, quantitative, and technology teams
Develop a clear understanding of Credit Markets

Credit Data Science Business Manager Resume Examples & Samples

Work closely with various desks to understand business needs and source relevant data
Oversee the work streams and resources that source, store, and apply data
Coordinate with groups outside of Credit Markets to most effectively deliver strategic solutions
Evaluate impact of data initiatives and identify ways to further leverage the work completed
Clear understanding of Credit Markets business evolution; multi-asset perspective helpful
Strong interest in fields of technology and quantitative analysis
Technically proficient and detail-oriented, with clear ability to devise a long-term vision
Self-starter with strong negotiation and collaboration skills
FINRA licenses (7 & 63) preferred, not required
7+ years of Markets experience, preferably within Credit Markets

Applied Data Science Internship Resume Examples & Samples

Statistical and scientific computing using python or Java or ?
RESTful service development using Java
Graph science, graph databases/traversals/analytics
Exploratory data analysis, experimentation, visualization
Surfacing meaning from rich natural language and network data
ELearning product design and development, 21st-century pedagogies
Web application UI/UX design/development (HTML/JS)
Digital-ethnographic methods, grounded research
Hand-coding large data sets for the purpose of training machine learning models
Collaborative, cross-team product ideation and research
Strong technical skills and logical thinking skills
Strong programming and data analysis skills
Strong intrinsic motivation and attention to detail
Ability to learn processes and technologies quickly
Ability to work both independently and as part of a team
Strong initiative and flexibility to shift work in response to competing priorities
Familiarity with Google application suite
Familiarity with source control tools
Familiarity with graph science concepts
Familiarity with python
Familiarity with Java
Familiarity with HTML5 & JavaScript (d3, angular…)

Data Science Resume Examples & Samples

Integrate data sources and develop data routines to create actionable information from raw data sources
Assist with the development of standardize reporting solutions that align metrics and drivers with the associated financials
Build excellent relationships and leverage them to overcome challenges, meet business needs and drive improvements
BA/BS degree (Masters preferred) in a qualitative discipline plus 5-10 years in relevant analytics and data mining experience
Strong communication skills, both written and verbal
Self-motivated individual who seeks to develop data driven solutions
Strong analytical & problem solving skils
Strong data mining and data transformation skills
OLAP development experience preferred
Knowledge of Cognos BI and Cognos TM1 preferred

Data Science Resume Examples & Samples

Design/develop/implement/drive utilization of analytic tools required to understand effect of strategic decisions impact on overall business/product profitability
Develop and implement standard financial and capacity planning models globally
BA/BS degree (Masters preferred) plus minimum 3-8 years in relevant financial planning or capacity/operational planning experience
Strong presentations skills with the ability to present findings effectively to senior management
Strong analysis background
Strong database and data management skills
Strong analytical & problem solving skills with the proven ability to recommend and implement effective solutions
Knowledge and experience with common data mining and data transformation tools (i.e. SQL, Cognos / TM1, SAS, R)

VP Data Science & Analysis Resume Examples & Samples

Apply advanced statistical/econometric modeling tools to develop robust predictive models
Work with databases and other internal data platforms to support various strategic analytics initiatives
Generate and discover innovative signals to improve business processes and work with business partners to implement the solutions
Clean and process structured, semi-structured and unstructured data
Candidate must familiarize themselves with business processes supporting BlackRock’s and clients’ investment, risk management, and middle- and back-office functions, as well as the technologies supporting those processes
Serve as subject matter expert and escalation point for advanced technical issues and questions
A proven track record in manipulating and analyzing complex, high-volume, high-dimensionality data from structured and unstructured data sources; strong SQL skill is a must
4-10+ years of previous data science work experience and a Bachelor’s or Master’s degree in quantitative fields such as statistics, economics, engineering, mathematics
Expert knowledge of statistical analysis tools/languages such as Python, R or Matlab
Experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc)
Programming experience in Perl, Java, C++ and web development experience on writing server side scripts (PHP, JSP, Perl) and front end development ( HTML, CSS, Javascript UI)
Knowledge of common data structures and algorithms

Data Science Lead Resume Examples & Samples

Minimum of 8-10 years of working experience with proven data science project experience in a data driven organisation (e.g. Google, Amazon, Bol.com, Booking.com, Cool Blue)
Strong consultancy skills including presenting, facilitating workshops and working with (international, virtual) project teams comprising internal, external and multidisciplinary project members and topics an advantage
Proven data science project execution track record including practical project experience with the application of data science including data extraction, cleaning and mining, (machine learning) model selection & validation, and algorithm & application programming
Knowledge of Hadoop, MapReduce, Spark, R, Python or comparable software and programming languages
Affinity with the financial services sector with working knowledge in the sector an advantage

Data Science Senior Manager Resume Examples & Samples

Study customer transactional data to understand behaviors and develop predictive models
Create customer behavior segmentations and operational segmentations
Drive the development and automation of planning processes with statistically driven planning models globally
BA/BS degree (Masters preferred) in quantitative discipline plus 5-12 years in predictive analytics or data science
Strong analytical & problem solving skills
Must be able to organize and prioritize independently and meet tight deadlines
Must have intellectual curiosity and a willingness to delve in to a problem and understand the root cause
Data mining and data transformation skills

Credit Data Science Data Scientist Resume Examples & Samples

Explore and visualize big data to find new patterns and signals; perform hands-on data exploration and modeling over big data technologies
Bachelor’s degree, 5+ years of professional experience
Good comprehension of financial concepts; experience working with financial and market data
Excellent technical skills in areas such as

Principal, Analytics & Data Science Resume Examples & Samples

Experienced in developing machine learning models for real-world problems using R, Python or other languages
Familiar with big data technologies such as Hadoop, Hive, Pig and Spark
Knowledge of data mining, Predictive analytics and machine learning tools like Weka and RapidMiner
Knowledge of data structures and programming skills in at least one modern programming language such as Java, C++, Perl or Python; visualization tools such as QlikView and Tableau
Able to articulate the findings and work in a team environment

Data Science Software Architect Resume Examples & Samples

Expert knowledge of web-app development using Python (i.e Flask, Django) or a similar web framework, though we will prefer candidates with Python experience
Understanding of systems automation, deployment and systems management solution tools such as Puppet, SVN, Jenkins (or Hudson), Spacewalk, and Git
Basic knowledge of setting up relational or nosql databases as they interface with the machine learning code
Knowledge of front-end technologies and basic HTML, CSS, javascript proficiency
An interest in machine learning and its application to help solve problems at the Times
Self motivated and can bring a strong software engineering practices to our team

Analyst, Enterprise Analytics & Data Science Resume Examples & Samples

Experienced in advanced analytical & machine learning models to solve real-world problems using R, SAS, Java, Python or other languages
Software development and object oriented programming skills in at least one modern programming language such as Java, C++, etc
Visualization tools such as QlikView and Tableau
Able to conceptualize prototypes and evolve them to full fledge solutions

Director of Data Science & Machine Learning Resume Examples & Samples

Responsible to provide direction, and day-to-day management for Data Science and Machine Learning team
Leading development and implementation of scalable algorithmic solutions for real-time auctioning, second pricing, prediction, floor pricing, ad inventory estimation, and audience segmentations
Managing challenges associated with investigating and understanding large datasets, and building models based on Big Data solutions
Ensure excellence in delivery to internal and external customers
Build deep partnerships with business, product management, and technology leaders
Lead, hire, manage and mentor a global team of Data Scientists and algorithm engineers
Ph.D. or M.S. in Statistics, Applied Mathematics or Computer Science
8+ years of experience in the Data Science and Machine Learning field with increasing responsibility
Minimum 2 years hands on commercial experience in machine learning, statistical modeling, data mining, pattern recognition, and probability theory, especially in AdTech industry
Experience in AdTech industry, especially domain knowledge programmatic advertising/ RTB, and DMPs is a big plus
Proficiency in analytical modeling tools like R, Spark ML
Proficiency in at least one high level programming language like Java, Scala, or Python
Knowledge and experience working with Hive and MapReduce
2015: 1st to market with competitive benchmarking analytics for publishers

Engineer, Core Data Science Resume Examples & Samples

Experiment engineers will be expected to help define and develop our core software for designing and deploying advanced experiments
BS or MS in computer science or a quantitative field with a strong passion for building new technologies for deploying and analyzing field experiments
Engineers should be familiar with basic concepts of statistics and experiments, and have built or used at least one experimentation system, such as PlanOut
Programming: Proficient in Hack, PHP, JavaScript, or Python. Knowledge of SQL, Hive, or Impala

Data Science, Citi Fintech Resume Examples & Samples

Adaptable – remains calm and optimistic under pressure and adapts well to unexpected situations; comfortable dealing with ambiguity and uncertainty; solicits & embraces feedback from others to make changes to improve impact and effectiveness
3+ years proven experience in applied data technology and/or architecture
Passion for digital products/emerging technology and how they will impact the customer experience

Mid-senior Data Science, Citi Fintech Resume Examples & Samples

Collaborator – strong partnering skills with others including fellow team members, peers, key stake holders; builds relationships & connects ideas across silos including, high-grade diplomatic skills to effectively negotiate for harmony
Curious – willing to take calculated risks, challenges traditional approaches, inquisitive with a penchant for seeking new experiences, knowledge; asks questions; demonstrates an appetite to learn new things
6+ years proven experience in applied data technology and/or architecture
Experience with SAS, R, and other Big Data programming/script languages
Experience with data mining/visualization tools including SAS JMP, Cognos, Tableau, etc
Self-starter, proactive; operates well despite ambiguity and drives delivery of results
Strong team player and peer coach, with a passion for developing others

Head of Data Science, Citi Fintech Resume Examples & Samples

Courage/Boldness – not afraid to make quick decisions with limited info, decisive; sets direction and priorities without fear; has the guts to make difficult business and people decisions; takes initiative and publicly tests limits; is not afraid to fail or go against popular opinion; acts with a real sense of urgency to move others to action; sets a high bar
Determination – achievement oriented; optimistic about what can be; persistent, can persevere, resilient to setbacks; seeks high levels of activity, fast-paced environment; demonstrates a fierce commitment to challenging goals; a strong bias for action
Authentic leaders and open, genuine communicators able to create an environment of excitement and positive motivation that leads to an emotional connection with the team, not just the task
Well equipped to interface at any level of the organization in a context of major cultural change
Build and empower a passionate team
Support Citi FinTech’s Optimization team to help identify and tear down silos in data sets, and to start tapping external data seams that enrich our 360-degree view of clients’ financial graph
Drive the team to identify opportunities for enhancement of data systems/platforms
Oversee the creation of an optimal architecture to enable us to ingest, process and output evolving collections of third-party data sets
Direct the development of an end-to-end prototype platform that demonstrates the chosen technical strategy
Roadmap a plan to scale
Oversee the team’s initial implementation of processes and procedures that will enable the delivery of data and earn us marketplace advantage
10+ years proven experience in applied data technology and/or architecture
Experience applying advanced statistical and machine learning techniques to real-world data
Experience with developing technology/data linkages to deploy machine-learning algorithms in real-time
Deep familiarity with the current digital technology marketplace, including experience in a Big Data analytic environment

Data Science & Data Management Resume Examples & Samples

Analyzing consumer data to create behavioral segmentation strategies
Developing statistical and machine learning models to predict predefined outcomes (inclusion in target set, likelihood of viewership/engagement, likelihood of purchase, etc.)
Profiling target consumers and visualizing results understandable by non-technical business owners
Leveraging database technologies to develop enhancements to existing communication platforms
Experience with statistical software such as SAS or R
Knowledge and understanding of SQL
Coursework and practical experience with statistical techniques such as Linear and Logistic Regression, Single Vector Machine modeling, and Segmentation Strategy (Principal Components, Clustering, Tree Algorithms)
Understanding of ETL Concepts
Coursework and practice experience in Information Visualization
Ability to handle numerous tasks concurrently and adapt to a fast-paced environment

Data Science & Data Management Spring Technology Intern Resume Examples & Samples

Work as a part of the team operating the Turner Data Cloud
Some familiarity with Postgresql, especially JSON features (desired, but not required)
Goal and detail oriented self-starter with strong written skills and an ability to work well both independently and with a diverse team

Head of Data Science Resume Examples & Samples

Define and implement a strategy to develop advanced data science (modeling, scoring, prediction…)
Lead the design of the supporting infrastructure
Supervise the use of statistics in the editorial department and all areas in the company so that decisions are made with accurate data and statistical rigor
Devise clever ways to test assumptions and strategies, and optimise activities so that we are more efficient in what we do
Design and apply sophisticated data analysis including machine learning algorithms to our business needs in order to improve all aspects of our activities, deliver actionable insights and provide accurate predictions
Communicate results and impact to colleagues in editorial and commercial departments, as well as to senior managers
Collaborate with software development teams to put into operation your findings
Educate stakeholders and communicate the benefits of your sophisticated data techniques and technologies
A PhD degree (or equivalent) or experience in computer science, statistics or other quantitative/computational discipline
Robust experience in publishing, media or e-commerce industry
Proven record of solving challenging problems in academia and/or industry
Experience with statistical-analysis software and open-source machine-learning tools
Experience with scripting languages (e.g., Python, Ruby, Perl)
Data engineering experience, including SQL and manipulating large structured or unstructured datasets
Familiarity with MapReduce/Hadoop and related technologies (e.g., Pig, Hive, Cascading)

Head of Data Science & Insights Resume Examples & Samples

At least 5-7+ years of relevant experience
Significant data product and data development experience
Prior significant digital experience
Strong industry relationships within the data and analytics space
Ad ops background and/or marketing experience is a plus
Deep knowledge and passion for digital advertising ecosystem, in particular display, native and audience data advertising
Strong proficiency in excel and analyzing data
Strong project management or organizational skills
Ability to analyze data and effectively communicate insights in written and verbal format

Cbna Business Intelligence & Analytics Data Science & Visualization Resume Examples & Samples

Human Capital Reporting and Analytics (HCRA) is a centralized Global team established newly within CSS to provide Human Capital Reporting & Analytics on the entire employee life-cycle of Talent Acquisition, Development & Retention, with a strong secure management model wrapped around it
HCRA currently has an opportunity for a highly motivated, career oriented individual within Citi Shared Services (CSS), based in Mumbai
The position will support delivery of human capital reporting to HR (primary business partner), All Business and Regions of Citi in a seamless and efficient fashion
Coordinate, with minimum supervision, software design and development projects to support and implement state of the art data visualization and analytical solutions for O&T Governance utilizing QlikView Business Intelligence Suite. Experience with graph databases and other data visualization tools such as MicroStrategy, Cognos, Business Objects, RSA Archer is preferred
Architect and lead design, delivery, development, and testing of QlikView –driven business intelligence solution development projects aligned with the Citi Brand
Coordinate with business end-users, vendors, software development teams, and executive management to translate business requirements into actionable functional/technical design specifications and assess system performance and enhancements
Lead multiple high profile projects within the Data Visualization team while participating and being responsible for analysis, design and delivery of QlikView solutions
This position will interface with multiple levels of customers from end users to executive management
Gather, create and maintain business requirements documentation based on design review sessions
Extract, transform and load data from multiple sources into QlikView applications
Design, develop, and test QlikView scripts to import data from source systems and test QlikView dashboards to meet customer requirements
Deployment of application across development, quality assurance and production environment
Design, create and tune physical database objects (tables, views, indexes) to support logical and dimensional models
Maintain the referential integrity of the database
Perform QlikView system administration and testing of releases and patches
Lead efforts to standardize and automate performance reports
Ensure data quality and accuracy through the implementation of automated audit and data management practices
Discover, analyze, and interpret trends or patterns in complex data sets to perform strategic analysis and research
Create new data visualizations to help the organization understand the analytic results
Post Grads Degree or equivalent
7 to 8+ years of experience in extensive project management
5+ years of experience and very strong knowledge of leading re-engineering and change within an organization across multiple countries
5+ years of experience in business intelligence & analytics along with Reporting or Management Reporting role, including demonstrated experience of managing senior business partner relationship
Demonstrable experience of influencing and leading across a matrix organization
Highly effective communicator, able to interact with senior, global business management
Ability to work independently and take personal initiative
Sharp motivational and influencing skills
Proficient in MS Excel, Access, Visualization tools (Tableau / QlikView) and Reporting and Analytics tools

Data Science Support Analyst Resume Examples & Samples

Bachelor’s degree in quantitative or creative field
Proficient in Excel (although we stay away from it, you should know how to use it)
Strong organization skills with attention to detail
Able to work on multiple projects simultaneously with ability to effectively prioritize and execute tasks
Background in a media industry a plus
Looker (Business Intelligence tool)
SQL (Postgres, Redshift & Snowflake)
Python

Master Thesis Within the Field of Data Science Resume Examples & Samples

Literature review, identifying relevant machine learning concepts and algorithms
Analyze available datasets from traffic in the mobile networks and/or generate suitable data sets
Implement the machine learning concepts in prototypes
Analyze the performance of the new concepts and compare with existing concepts
MSc studies in Computer Science or similar area
Excellent skills in programming languages (Java, Scala or Python)
Excellent skills in data analytics and machine learning
Knowledge about big data platforms such as Hadoop and Spark
Like to build end to end prototypes and concepts

Director of Data Science Resume Examples & Samples

7+ years of experience as a Data Scientist; 3+ years of experience managing Engineering teams that solve complex problems
Previous experience Performed and Applied Academic-esque research in a company setting
Programming experience in both academic and business environments
Mastery of both Frequentist and Bayesian statistics
Demonstrated experience doing high-level management in a startup environment
Expertise in: Computational linguistics; Pedagogy; Machine learning; Database systems; and, Data visualization

Senior Manager, Customer Data Science Resume Examples & Samples

Statistical modeling: Analyze customer data across multiple dimensions to inform the marketing campaign and test strategy. Utilize this data to build targeted marketing models using algorithms such as Logistic Regression, CHAID, SVM etc. Provide actionable recommendations based on insights, and report on these insights to business and technical partners. Experience creating various response models and incorporating cross-channel behavior is a plus
Campaign test design: Design test structure to support revenue and learning objectives across segments, offers, creative, and channels. Prioritize across various business objectives and set up campaign design to ensure statistically sound results. Experience evaluating performance and incremental contribution is a plus
3-5 years’ experience in customer analytics and modeling in CRM or client side environment
Experience designing and validating models using logistic regression, decision trees, non-linear regressions, and support vector machine methodology
Expert knowledge of statistical software such SAS or R
Experience programming in Hive, Pig, and Python

Director of Data Science Resume Examples & Samples

Collect, process, and cleanse raw data from a wide variety of sources
Transform and convert unstructured data set into structured data products
Performance Attribution Modeling: Owning and advancing existing proprietary models that identify connections between linear and digital T.V. conversions, and the corresponding media drivers. Working closely with the account teams to assess the challenge, discuss the possible solutions, and execute a plan
Must have experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with TB to Peta bytes size data sets
Dataset experience in document, graph, log data, and semi-structured data
Experience innovating and implementing novel ML techniques
Knowledge of distributed computing solutions, and ability to leverage them towards gaining faster insights from data
Advanced statistical methodology, data mining, Bayesian networks, probabilistic models; software package and coding (R, SPSS – advanced, Java, Octave/Matlab - basic). Techniques: multiple, linear and logistic regression, ANOVA, MANOVA, factor, discriminant and cluster analyses, multidimensional scaling, PCA, ICA, SVM; Data cleaning, munging, organizing
Expert in Excel, proficient in a statistical software package (R)
Highly skilled in accessing data from relational databases (SQL, Python)
Highly skilled / certified with Google Analytics and Adobe Analytics
Knowledge of T.V. buying process, metrics, and data sources including Nielsen, Rentrak, and, familiarity with T.V. buying platforms is a plus (Core)

VP, Analytics & Data Science Resume Examples & Samples

Direct leadership of multiple predictive modeling applications and model-building
Direct leadership in Customer Insights reporting and customer data analytics
Direct leadership of Web Analytics and Site Personalization
Direct management of Hadoop/Spark-based Machine Learning Modeling and Discovery process
Expertise in managing the build out of a Hadoop analytic environment
Expertise in Multi-touch attribution methodology, providers, implementation, and socialization
Exposure to ecommerce marketing is essential -- SEM, SEO, Remarketing
Exposure to event triggered marketing is a strong plus
Experience with Data Management Platform implementations/vendors/process is a strong plus
Proven track record in influencing/guiding Executive staff, preferably in a retail setting
MS or PhD in Computer Science, Math/Statistics, or related Applied Science or Engineering discipline
10 years of business-based analytics, part of which includes hands-on data analysis experience with SAS, SQL or similar analytic programming languages
5+ years of people manger experience in leading multiple teams of high caliber, self-driven, highly technical and analytical minds required
Advanced knowledge of Data Mining, Machine Learning, classification algorithms, or Predictive modeling
Experience managing contract resources
Demonstrated leader and knows how to work effectively with cross-functional partners in collaborative environment
Strength in presentation, communication and influencing skills for both technical and non-technical audiences
Excellent analytic and critical thinking, combined with strong written and verbal communication
Experience with multi-channel retail consumer data

Data Science Senior Manager Resume Examples & Samples

Build and facilitate the automated data mining and analysis process to increase efficiencies in data analytics
Assess existing analytics tools and investigate new opportunities to enhance existing analytical capabilities and quality of data to enable greater automation and real time decisioning
Utilize potentially silo-ed, irregular, unstructured and external data from TD systems and data warehouses to enable a consolidated view of information and drive behaviour and predictive analytics

Director of Data Science Resume Examples & Samples

M.S or Ph.D degree in one of Computer science, Electrical engineering, Statistics, Physics, Computational Biology, Bioinformatics etc.,
12+ years of experience building advanced analytics solutions in the industry using techniques from machine learning, data science, statistics, optimization, large scale computing etc
5+ years leading teams of data scientists, ML scientists, solution architects, developers etc
Experienced in building analytic solutions in one or more domains like Finance, Healthcare, Retail, Telecom, Energy, Marketing, IoT scenarios etc
Experience working with customers and partners in a collaborative manner
Solid understanding of analytic tools such as R, Python, SAS, SPSS, KNIME, RapidMiner etc
Experience and knowledge of big data ecosystem including Hadoop, Spark, etc
Excellent communication skills and ability to lead a team of data scientists, software engineers and program managers in a collaborative manner
Demonstrated customer focus and good bias for getting things done, fast and right, engaging for action and delivering results fast and with quality
Strong intellectual curiosity and passion about learning new technologies

Associate Partner Data Science / Analytics Resume Examples & Samples

Clear evidence of ability to develop new business and shape value-led business propositions in Cable & Broadcasting clients
Proven ability in converting opportunities into new client engagements and building long term business relationships
Good understanding of information technology, including IT processes with a strong track record of senior management influence across M&E clients
Clear evidence in leading and supporting complex £multi-million IT consulting services assignments in the UK and across Europe, transforming business processes, operations and technology solutions in the M&E sector

Data Science Software Engineer Resume Examples & Samples

Carry out tasks encompassing data cleansing and data normalization
Designing and implementing machine learning solutions with tasks ranging from feature selection, classification, clustering, time series analysis and much more
Have the chance to patent and publish your findings, present your work at international conferences and forums
Have the chance to collaborate with passionate scientists and engineers on exciting problems including recommendations, personalization, search engine marketing, etc
2+ years of SW development with a high-level programming language like: Java, C/C++, Python
Strong machine learning background both on supervised and unsupervised algorithms
Experience applying machine learning solutions (SVM, Clustering, Contextual Bandit, Deep Learning, etc) to real-world problems is a plus
Have a favorite exploratory data analysis tool
Experience with unit testing frameworks like JUnit, Mockito or similar
Experience with/knowledge of frameworks like Hadoop, Storm, HBase, Spark is desirable
Effective communication skills and enjoying work as part of a team

Working Student Business Analyst With Passion for Data Science Resume Examples & Samples

Research and development of methods, models and algorithms for the extraction of knowledge from our data sources, including the modeling of user behavior
Implementation of data engineering pipelines using a wide variety of (preferably open-source) technologies and tools
Designing experiments targeting questions posed by business or technical teams
Research and development of new, innovative solutions which improve the quality of our offerings
Have the mindset of a scientist: you must be curious and enjoy diving deep into yet unknown questions, challenging paradigms through the use of scientific methods and tools
Have the technical background of an engineer: you must have basic notions on how to integrate multiple systems and data sets, and how to use different programming languages and technologies to your advantage
Have the communicative skills of a promoter: strong interpersonal, verbal and written skills, enthusiastic about discussing ideas and disseminating findings with engineers as well as business leaders
Have knowledge of Python or similar scripting language
Are passionate about data engineering, statistical modeling, machine learning and other data science related topics
Are fluent in English, both in spoken and written form

CIB Fixed Income Research Front Office Data Science & Analytics VP Resume Examples & Samples

Governance: Apply enterprise data governance standards to the Research data infrastructure
Architecture: Consolidation and integration of Research data sources into the enterprise data platform
Analysis & Visualization: Drive the evolution of the DataQuery platform and related analytics products
Market Intelligence: Perform “deep-dive” market studies on emerging trends impacting market structure
4+ years of experience in data management or a related software engineering role, plus working experience with senior management and external clients
Graduate degree (MS, PhD) in Computer Science, Math, or other quantitative discipline preferred
Highly motivated professional with global project and product management experience
Professional experience in data management or a related software engineering role
Strong understanding of fixed income products and relevant analytics
Thorough understanding of probability and statistics, data analysis, and quantitative methods
Cross-functional leadership ability, strong communication skills, demonstrated exceptional work ethic
Experience with Python and other modern programming languages
Familiarity with Python data analysis and machine learning libraries a strong plus
Understanding of scalable data management tools, Big Data architectures a strong plus
Understanding of Data Analysis and Visualization tools such as Tableau a strong plus
Front office experience in the Financial Services industry preferred

Cib-data Science Resume Examples & Samples

Drives results through leadership, people, communication and influence
Comfortable with change, ambiguity, debate, conflict and informed risk taking
Multi-tasker who can manage multiple streams of work concurrently
Ensure appropriate ownership and adoption of solutions exist to achieve CIB stated targets
Work to find a solution where one does not exist or additional analysis is required Lead
Preserve a governance and PMO structure to ensure objectives are clearly defined, project plans / deliverables are documented and each work stream remains engaged and on track with target deadlines
Maintain effective communication with the Corporate and Investment Bank CAO community and business partners with the purpose of informing interested parties on all key milestones, accomplishments, programs, activities and overall successes
Monitor and track productivity
Responsible for Issue Management, Escalation and Remediation

Data Science Summer Intern Resume Examples & Samples

Collaborate with technical and business owners to design data science solutions to business problems
Demonstrate working solutions to business stakeholders
Are interested in Agile development environments
Can design Machine Learning models that score billions of records per day
Can deliver tested, quality code that can be rapidly deployed
Are enthusiastic about building great software
Want to work as part of collaborative team
Data Structures
Tools such as Hadoop / Spark / HBase

Summer Undergraduate Internship Business Development Intern Data Science & Survey Research LOB Resume Examples & Samples

Update project descriptions
Populate expert database
Conduct capture research for various opportunities
Conduct DRAGON testing
Create DRAGON and DoCTER user documentation (e.g., user guides, videos)
Currently enrolled in a Bachelors program in life science or environmental science as a current freshman, sophomore or junior
Proficient with preparing Microsoft Word, Excel, and PowerPoint products
Experience with Access databases
Experience making instructional videos
Superior attention to detail and the ability to meet stringent deadlines
Ability to be flexible, multi-task, prioritize, and manage multiple activities simultaneously in a fast-paced, changing environment
Strong team player with the ability to take initiative and work well independently
Excellent verbal, interpersonal and written communication skills, including experience with developing presentations
Ability to exercise good judgment, discretion, tact, and diplomacy

Principal Data Science Lead Resume Examples & Samples

2+ Data Science experience
Experience with R and Python. C#/VB, HTML/CSS, JavaScript, C++ a bonus
Experience with Big Data

EVP of Data Science Resume Examples & Samples

Partner with various internal teams throughout the organization to help drive discipline and rigor in audience planning, campaign reporting and optimization by working with key analytics partners to build advanced analytic models
Determine opportunities to package and commercialize data, insights and analytics products and services
Lead the effort to develop and apply advanced analytics for marketing strategy and targeting
Serve as agency spokesperson for data, advanced analytics and insights
Turn analytics into revenue, understand product, and be a true data scientist

Manager, Infrastructure Data Science Resume Examples & Samples

Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how user behavior affects infrastructure systems (and vice versa)
Partner with engineering teams to solve problems and identify trends and opportunities
Inform, influence and support engineering decisions
Manage development of data resources, gather requirements, organize sources, and support product launches
Expert skills in at least one programming language
Basic understanding of statistical analysis, experience with packages, such as R, scipy, numpy etc. preferred
Ability to communicate the results of analyses in a clear and effective manner
Bachelor Degree in Computer Science, Math, Physics, Engineering, or related quantitative field
Advanced degrees preferred, but not required

Data Science Summer Intern Resume Examples & Samples

Analyze large sets of transactional data using statistics and programing languages (R, SQL, Python) to provide insights from a regulatory perspective
Develop data preparation routines in a procedural language
Understand and articulate the basics of concepts such as Regression, Logistic Regression and Clustering Analysis to a non-technical audience
Collaborate with various members of the Department on requirements to refine the projects goals, scope and timelines
Understand basics of dashboards, reporting, data integration and business intelligence systems
Develop models that can be deployed and used by the Department
Perform model assessment, validation, and enhancement activities
Design and implement creative approaches to predictive modeling problems
Industry or project-based experience are required. Finance background is preferred but not required

Working Student Software Engineer With Passion for Data Science Resume Examples & Samples

Research and development of new, innovative solutions which optimize the quality of our offerings
Knowledge of Python or similar scripting language
Passion for data engineering, statistical modeling, machine learning and other data science related topics
The mindset of a scientist: you must be curious and enjoy diving deep into yet unknown questions, challenging paradigms through the use of scientific methods and tools
The technical background of an engineer: you must have basic notions on how to integrate multiple systems and data sets, and how to use different programming languages and technologies to your advantage
The communicative skills of a promoter: strong interpersonal, verbal and written skills, enthusiastic about discussing ideas and disseminating findings with engineers as well as business leaders
Fluent in English, both in spoken and written form

Director of Data Science & Analytics Resume Examples & Samples

Conceptualize and lead a range of product insights, predictive modeling and data science projects across all the business areas: Growth, Merchandising, Marketplace operations and Product. Responsible to provide direction, day-to-day management and analytics review to the team of analysts and data scientists
Lead small to large projects that informs both day-to-day tactical decisions and long-term strategic vision. Interpret and present the findings to company executives and internal stakeholders as needed
Plan, define and lead execution of Big data - Analytics systems development
Partner with data engineering to determine the vision and roadmap for the data and analytics technology infrastructure that ensures reliable delivery of high-quality data and insights
Manage and further develop on existing and new analytics technologies to enable easy access to key data insights through a range of dashboards
Manage and lead enhancement of home grown real-time analytics platform. Evaluate external data and analytics platform vendors and bring-in new data/analytics platform partners as needed to provide exponential boost to value delivered by Data team
Lead development and implementation of scalable algorithms for a range of areas such as buyer activation, predicting next purchase, similar listings, inferring search query and user churn
Promote a culture of excellence, data driven discussions, healthy skepticism, knowledge sharing, expanding team’s skill set, teamwork, focus on Poshmark’s growth and fun
Lead, hire, manage and mentor a team of analysts and data scientists

Senior Business Mgr-customer Analytics & Data Science Resume Examples & Samples

Own the end-to-end analytical process for WWIS from vision casting to execution. Develop and implement the short and long term roadmap for customer analytics
Define analytics needed to maximize and accelerate growth of upsell, cross-sell, and consumption. Implement predictive analytics into the sales process. Questions, insights, recommendations and outcomes that will help enhance seller effectiveness
Lead the analysis efforts, including personalization, predictive analytics, user segmentation, forecasting, web user behavior analysis, and attribution models. Resolve complex technical issues and drive innovation that improves search scalability, relevancy, and user experience
Establish scalable, efficient, automated processes that track the effectiveness of predictive analytics and projects. Identify key metrics and build exec-facing dashboards to track progress of the lifecycle marketing and its highest priority initiatives
Contract with customers, partners, and co-workers to define deliverables, timelines, and responsibilities. Succinctly translate complex analytical insight into actionable recommendations; weave a story together that is understandable and resonates with diverse audiences
Work with cross-functional teams (including Marketing, Product Management, Engineering, Design, Creative, and senior executives) to rapidly execute and iterate
Lead, guide, coach, and support team members in driving a data science culture and expanding analytic capabilities. Be a champion for high quality, data-driven decision-making
7+ years of progressive experience as a strong contributor or leader of a data analytics team, developing algorithms and predictive models to solve business problems (segmentation, user engagement, web analytics, campaign attribution, funnel, and ROI), ideally within B2B environment (regression modeling, clustering, pattern recognition, etc.)
MBA or Master’s (Statistics, Applied Mathematics, Economics, Computer Science, Operations Research, Electrical Engineering), or PhD strongly preferred. Bachelor’s required
Knowledge and experience of varied analytical techniques and data manipulation tools required - Data Visualization, Business Intelligence Tools (ex. Power BI, Tableau, Spotfire). Modelling (R, SPSS), and SQL. Ability to work structured and unstructured data sets of all shapes and sizes
Knowledge and exposure to Machine Learning and Big Data stacks (Hadoop, Apache Spark) a plus
Ability to manage multiple projects with competing priorities across worldwide based talent in multiple time zones
Strong communication, interpersonal, teamwork, and organizational skills
Flexibility to handle directional changes with the ability to juggle moving priorities to ensure project success
Ability to contribute consistently and positively in a high-paced, fast-changing and sometimes unpredictable work environment
Proven ability to assess business needs, prioritize accordingly and escalate appropriately
Analytical thinker with a can-do attitude and flexibility to accommodate to evolving business needs

VP, Data Science Resume Examples & Samples

Organizational design, team recruiting, and growth of the region Data Science/Analytics team
Leadership and management of the region Data Science team, 10-12 people with 2-3 direct reports, including communication, team meetings, goal setting, career discussions, project assignments, learning & development, and promotion and compensation decisions
Active participation and leadership on the region leadership team, leading and supporting cross-discipline initiatives to strengthen the region’s people, culture, clients, operations, and solutions
Knowledge sharing and education across region Data Science team and across disciplines in the region as well as across the national Data Science team
Collaboration with Data Science leadership on whitepapers, Digital Marketing Insights, POVs for widespread distribution to company and clients
Advise region leadership and the national Data Science leadership team on key industry trends, and innovations for PR purposes
Business development and client pursuits within the region and collaboration across the company as needed to win new business
Creation of innovative Data Science/analytics solutions for specific clients, including the design of complex research
Evaluation of and partnership with external vendors and technologies as appropriate
Evaluation of prospective technologies and companies for partnership or corporate acquisition
Organizationally and operationally savvy
Strategic, dynamic, and accessible leader able to manage, coach and mentor team members
Thinks critically and strategically to set direction and guide innovation in product management, project management, and resource management
Effectively collaborates on pitch teams, able to develop compelling capability presentations and deliver dynamic presentations that demonstrate the value of our practice and solutions
Relationship builder with internal teams and clients/prospects at the CMO, CTO and other senior levels
Able to translate complex analytics/data sciences concepts in terms that are easily understood and accessible to clients at various levels of seniority and sophistication with the material
Able to effectively negotiate and close deals with new and existing clients
Change tolerant, tenacious and persistent, pushes past obstacles
Quickly masters new disciplines, concepts, and technologiesStrong oral and written communication skills
Research methodologies, benefits and limitations
MBA or comparable with focus on quantitative field
10+ years in marketing strategy and/or advertising strategy
7+ years in applied marketing analytics and/or research
5+ years in a client services/professional services organization, preferably an advertising agency or management consultancy
5+ years’ experience in digital marketing
Track record of successfully growing new businesses from concept through to fruition

Data Science Resume Examples & Samples

Experienced professional with at least 8-10 experience working across Analytics & Machine Learning domain
Proficiency in machine learning and data mining techniques – Feature engineering, regression, classification, clustering, time series analysis etc
Data Analysis - expertise in uncovering insights and identifying patterns
Strong experience in predictive modelling using R/Python
Strong programming background in at least one - Java, Scala or other object oriented programming languages
Strong command over Big Data technologies – HADOOP, HIVE, PIG, Spark-MLlib
Expertise in handling large data volumes MPP databases like Teradata/Greenplum and high proficiency in SQL
Good knowledge of shell scripting
String understanding of Statistics
NLP & Text Mining Experience is a big plus
ETL experience is a big plus
Ability to work in fast paced and dynamic environment

Data Science Assurance Manager Resume Examples & Samples

Understanding of NoSQL database models, XML, relational and other database models and associated SQL
Understanding of ETL tools and techniques, such as tools like Informatica, SSIS, Mapforce and understands how to map transformation and flow of data from a source to a target system
Performing in development language environments--e.g. Python, C#, Java or equivalent--and applying analytical methods to large and complex datasets leveraging one of those languages
Automating complex processes
Performing SQL development, data analytics and programming/scripting, especially Python, Java, C#, C++, Python, .NET, VB, etc
Applying statistical or numerical methods, data mining or data-driven problem solving
Visualizing and communicating analytical results, ideally using open source visualization technologies such as HTML, JavaScript, and related packages such as D3
Engineering custom analytical approaches to unique or challenging questions when standard approaches fall short

Data Science Architect, Decision Science Resume Examples & Samples

Drive technology strategy and execution for the success of a set of capabilities from ideation to delivery. Own a multi-year technology roadmap linked to business value
Inspire and manage highly distributed external teams (contractors, agencies, integrators)
Manage multiple projects and budgets simultaneously, prioritize, and proactively communicate issues and decisions
Evolve our technology and services delivery model to help create business value by enabling work processes, operating efficiencies and technology enhancements
Serve as a trusted advisor to key business groups and their leadership teams, by providing thought leadership, compelling communications and superb execution
Provide creative solutions and innovative ideas for difficult cross-discipline issues
Lead end to end delivery of solutions across the lifecycle: discovery, design/ architecture, development and operationalization in an outsourced model
Enforce IT standards and processes, including standard SDLC methodology when applicable
Assist with forecasting, budgeting and managing project funds
Perform complex vendor management in delivery of an integrated solution
Ensure alignment with other technologies supported by key partners in Enterprise Architecture and Global IT
Identify necessary metrics to measure the progress and effectiveness of projects
Create and enforce data standards
Have the ability to query databases and perform statistical analysis (as needed)
Able to document use cases, solutions and recommendations
Advise senior management in clear language about the implications of their work for the organization
Create examples, prototypes, demonstrations to help management better understand the work
Help program and project managers in the design, planning and governance of implementing complex projects
Perform detailed analysis of business problems and technical environments and use this in designing the solution
Provide exceptional support and service to the business
Bachelor’s degree in Management Information Systems, Computer Science, or related field preferred
10+ years working in large scale products or programs
Experience in iterative software delivery methodologies – Agile, SCRUM, etc
Working knowledge of application architecture patterns, NOSQL database infrastructure and robust asset and data migration tools
Working knowledge of associated platforms and technologies, including: Amazon Web Services, API framework (Service Oriented Architecture), Analytics (Web, Reporting, Predictive), Hadoop (Hortonworks) a plus

Principal, Data Science Resume Examples & Samples

Serve as a senior data scientist for audience studio data products
Develop and code the data science services that is core to Audience Studio, under the leadership and direction of the VP Architecture
10-15+ years of software development experience, as a developer or manager
Ability to apply data science theory to effectively to advertising & audience data
Fluency in at least 1 of the following programming languages (C, C++, Ruby, R, SAS, MapR, Python)
Excellent teamwork and collaboration skills

Director of Data Science Resume Examples & Samples

Experienced in building analytic solutions in one or more customer-centric domains like Consumer Mobile, Telecom, Retail, Finance, Healthcare, Marketing, IoT scenarios etc
Passion for human behavioural analytics and study
Commercial / accounting / econometric experience
Experience working with multiple stakeholders and partners in a collaborative manner
Strong intellectual curiosity and creative approach to solving new problems and applying new technologies

Data Science Assurance Senior Associate Resume Examples & Samples

Participation in planning with other data scientists on the most effective analytical approach based upon requirements taking into consideration performance and scalability to large datasets
Generating reporting output for leadership
Demonstrates some knowledge in an applied subject matter such as finance, accounting, energy, or health care; and,
Demonstrates basic knowledge in engineering custom analytical approaches to unique or challenging questions when standard approaches fall short
Applying moderately complex mathematical or statistical methodologies; and,

Senior Data Scientist, Customer Data Science Resume Examples & Samples

Customer profiling and segmentation: evaluate customer segment characteristics across multiple dimensions, producing customer demographic, psychographic, financial, and behavioral profiles to drive client marketing strategies and tactics
Implementing Statistical Models and Machine Learning Algorithms: Analyze customer data across multiple dimensions to inform the marketing campaign and test strategy. Utilize this data to build targeted marketing models using algorithms such as Logistic Regression, Decision Trees, Boosting, SVMs etc. Provide actionable recommendations based on insights, and report on these insights to business and technical partners. Experience creating various response models and incorporating cross-channel behavior is a plus
Collaboration with global team: Actively engage with other team members in Mumbai to fully explain business requirements and implementation strategies
6-8 years’ experience in customer analytics and modeling in CRM or client side environment
Broad experience analyzing and manipulating data in Big Data environment as well relational databases
Experience designing and validating models using logistic regression, decision trees, non-linear regressions, boosted trees, neural networks, support vector machines
Expert knowledge of statistical software such SAS or R or Python
Experience in Hive, Spark, Pig, Mahout
MS/PhD, preferably within statistics, mathematics, economics or a technology focused degree

Data Science Strategist, Mobile Partnerships Resume Examples & Samples

Work closely with the partner to understand their business needs and challenges and deliver value to them through insights
Apply your expertise in quantitative business analysis & data mining to see beyond the numbers to bring the client actionable insights and recommendations to use for their business strategies
Partner cross-functionally with the product development team and Data Science Engineering to access & understand the tools and data sets and the client sales team for media implementation strategies
Feed success & learning back to the product team to inform, influence and support our Insights product roadmap

Head of Data Science Resume Examples & Samples

Develop data science product & capability strategy and translate it to tactical priorities, product roadmaps and multi-year growth plans
Identify business opportunities and translate customer needs into concrete strategic business plans
Identify and actively engage with current and potential partners and suppliers, across Product and IT Development and Content Fabrication
Recommend on make-or-buy decisions towards Technology, Operations, and Elsevier supplier management
Ensure stakeholder engagement
Responsible for market analyses
Ensure a customer-centric view on product development
Staff management responsibilities - 3 direct reports

Director of Data Science & Analytics Resume Examples & Samples

Engage with the executive team to understand the business priorities. Deliver value across the organization by identifying, recommending and executing data science initiatives in-line with business priorities
Lead small to large projects that inform both day-to-day tactical decisions and long-term strategic vision. Interpret and present the findings to company executives and internal stakeholders as needed
Manage and mentor a team of analysts and data scientists
Identify new data instrumentation priorities and collaborate with data engineering team to advance our data systems
Manage and further develop on existing and new analytics solutions to enable easy access to key data insights
Evaluate open source and third party data science/advanced analytics platform vendors and lead adoption of appropriate platforms to increase efficiency and effectiveness of Data team

Data Science Engagement Leader Resume Examples & Samples

Use technology, industry expertise, competitive intelligence, and a deep knowledge of customer preferences to conceive, evaluate, design & deliver superior product/service offerings that exceed customer expectations
Drive continuous improvement and new ways of thinking, across groups within the division, to improve quality, Data Science productivity and responsiveness based on feedback and changing priorities
Uncover opportunities for collaboration across groups in the division, ensure that cross-team commitments are set, and achieve scale in their personal work efforts by enabling the work of others
Serve as a subject matter expert in processes and methodologies with ability to adapt and improvise in various situations
Use expertise to navigate through ambiguity and prioritize conflicting asks
MBA or other Master’s Degree in “STEM” (Science, Technology, Engineering, or Math)
5-8 years of experience in Product Management, P&L responsibility, or Strategic Consulting

Senior Data Scientist, Data Science Products Resume Examples & Samples

Develop analytics to address products needs and opportunities
Work alongside software developers and software engineers to translate algorithms into commercially viable products
Analyze existing industry/problem specific algorithms & refactor them for broad & generic application
Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 3 years of analytics development for industrial applications in a commercial setting
Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
Experience in analytics development for industrial applications in a commercial setting preferred
Strong understanding of machine learning and familiarity with statistical methods and a good grasp of the mathematical underpinning of machine learning methods. Expertise in time series domain will be a plus
Expertise in time series domain will be a plus
Contribution to open source packages, participation/winning machine learning competitions is a plus
Demonstrated awareness of industry and technology trends in one or more sectors where GE operates
Demonstrated awareness of critical thinking and problem solving methods
Demonstrated awareness of presentation and influencing skills

Data Science Architect Resume Examples & Samples

Design and develop new systems and tools to enable users to consume and understand data faster
Work across multiple cross-functional teams in high visibility roles and own the data solution end-to-end
Adopt a FastWorks mindset to support business data and analytics projects
Lead the effort of gathering business requirement and designing data architecture and infrastructure
Work closely with scrum master to lead and execute projects
Set strategy and standards through data architecture and implementation leveraging big data and analytics tools and technologies
Establish and drive a best-in-class data & analytic practice that will be leveraged across GE
Design the optimal engineering approach to process and manipulate any form of source data to fit business needs
Explore new big data technologies, become an expert of it and apply the appropriate technology to meet business requirement
Mentor data engineers and data scientists
Bachelor's Degree in Computer Science, Information Technology or “STEM” Majors (Science, Technology, Engineering and Math). Advanced degrees preferred
A minimum of 8 years of professional experience in Technical Lead or software development or data architect OR Master’s degree with 6 years of experience Technical Lead or software development or Data Architect
3 years of efficient SQL (Oracle, Vertica, Hive, PostgreSQL etc) experience is required
3 years of efficient Scripting (Pig, Python, Perl, etc) experience is required
2 years of experience in analytic model development using python, R, matlab, etc
1 years of experience using Hadoop ecosystem
Strong knowledge of Object Oriented Analysis and Design, Software Design Patterns and Java coding principles
Experience with Play framework, Angular is a big plus
Breaks down problems & maps to different problem groups or domains. Identifies potential problem domains. Conducts root cause analysis for a given problem. Understands vertical value stream related to a problem and breaks it down into smaller problems
Regularly chooses technologies at both the application and enterprise level based on breadth and depth of experience and education at all levels of the SDLC
Extends persistence design to accommodate specific requirements
Results-oriented approach to projects to achieve core goals
Strong problem solving abilities and capable of articulating specific technical topics or assignments
Demonstrates clarity of thinking to work through limited information and vague problem definitions
Project Management experience to lead projects end-to-end with agile methodology and techniques
Influences through others; builds direct and "behind the scenes" support for ideas
Shares knowledge, power, and credit, establishing trust, credibility, and goodwill
Able to work under minimal supervision and function productively in an ambiguous environment
Able to work well with global teams, including time-zone flexibility

Technical Recruiter, Data Science Resume Examples & Samples

Design and execute customized, full cycle staffing plans, partnering closely with hiring managers to achieve the best results possible
Find and engage unique and/or passive candidates through creative sourcing techniques, coordinating with our sourcers as needed
Facilitate and lead meetings and key initiatives and projects with client groups, and with the recruiting teams, that will continuously improve and scale our recruiting operations and results
Regularly manage pipeline activity and maintain data integrity, and proactively share data-centric updates with internal stakeholders
Establish and maintain meaningful relationships with management and key cross-functional stakeholders internally (e.g. Recruiting, HR, Compensation, and Diversity teams)
Collaborate with others on the recruiting team on initiatives and/ or hiring needs that may spike in other areas

Consultant Director, Marketing & Data Science Resume Examples & Samples

Drive technical development within the department and will be expected to bring new innovations/ideas/methods into the organisation, keep abreast of relevant external developments
Ensure high quality of all finished documents, both for their own work and for the work of juniors working with them
Maintain a broad and deep understanding of quantitative research techniques, to be able to mention appropriate solutions to client problems
Effectively manage own workload and work with departmental colleagues to optimize efficiency. They will also be responsible for managing projects involving other team members and will play an important role in coaching and training researchers in statistical matters
Maintain good working knowledge of statistical analysis techniques, both current and emerging
Develop and maintain good knowledge of analysis software packages, both currently available and emerging
Develop an understanding the limitations and possibilities of techniques and software packages
Promote new techniques and approaches as well as continuously review and adapt external developments
Coach and communicate junior M&DS colleagues in new techniques
Have an excellent understanding of advanced analytical research techniques – know when to use and recommend when appropriate. Coach and communicate to researchers and clients the value of these techniques
Be well-organised, flexible, and demonstrate self-confidence, decisiveness and commitment. Other crucial aspects of the role are to be self-motivated, pro-active, and creative
Excellent communicator generally. Effective at communicating with clients and colleagues. Able to deliver analytic insights in an impactful and meaningful way. Good at managing client and researcher expectations
Demonstrate ability to manage tasks clearly and monitor progress, help manage and optimize workloads of the team
Excellent attention for detail – ensure all outputs delivered to clients/researchers are professionally presented and accurate
Good written skills, ability to write proposals, reports and concise summary of findings
Is able to learn new methodologies and programming languages quickly
Manage own time effectively and ensure all project deadlines are met, act to resolve conflicts between projects
Good inter personal skills – treat others with respect, be co-operative, friendly and considerate of others. Be a good role model, help to build teamwork and team spirit
Be fully up to date with the requirements of the company's quality systems, and ensure compliance

Global Data Science Lead Resume Examples & Samples

40% Challenge our current best thinking, test theories, evaluate feature concepts and iterate rapidly as it relates to use and analysis of internal data. Bring new insights to Cargill’s commercial enterprises as well as trading businesses through leading data analysis, interpreting, modeling and reporting of large data sets of our global digital activity, developing tools and standard schemas to leverage new proprietary data sources. This includes working with cross-functional partners and business units to design, collect and prepare analysis that is aligned with high value business needs
20% Continuously seek out industry best practice and skills development to create new capabilities for data analytics at Cargill to better trading and business decisions
20% Manage portfolio of projects to ensure data science resources are going towards highest potential return projects
20% Provide thought leadership, mentoring and coaching to data scientists and database specialists in the team
Masters degree from an accredited college/university in Computer Science, Data Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields
Strong knowledge of distributed computing, data warehouse, data mining, business analytics and software development
Strong knowledge of databases and/or data models, Statistics (Regression, Clustering, Decision trees, Hyper graphs etc), Simulation, scenario analysis, etc
At least 2 years experience leading a team working in analytics/ Data Science and 5+ years experience in the data science field
Business savvy and ability to handle significant complexity. History of demonstrating commercial value of analytics

Data Science Developer Resume Examples & Samples

Bachelor Degree in Computer Science, Mathematics, Engineering or Statistical Analysis
RLDB & SQL : 2 years
ETL : 2 years
Applications development skills (Java preferred, requirements gathering, development and testing)
Statistical modeling a plus
Business facing experience requiring good communications and business understanding
Strong team player and ability to work independently
Data Insights or Predictive Analysis a plus
Excited to learn new things continually
Agile in thinking and flexible based on business prioritization

Data Science Software Engineer Resume Examples & Samples

Collaborate with software engineers, data scientists and others to deliver efficient data products
Develop scalable and performance oriented software with strong emphasis in algorithmic design
Design and analyze experiments to test new ideas to improve our personalization algorithms
Develop data models that add material lift to the personalized experience
MS or PhD in Computer Science/Engineering or other quantitative related field
3 years or plus experience in software development, preferably working in distributed systems and/or high performance computing
Understanding of software as a service design and standard web technologies (HTTP, JSON, etc)
Expert in Python and its numerical libraries (e.g., Pandas, Numpy, scikit-learn, pybrain, pyML) and backend frameworks (e.g. Flask, Django)
Scala and JavaScript development experience considered a plus
Solid understanding of data structures and technologies such as SQL, Mongo, Redis, ElasticSearch
Experienced in batch and real-time data processing frameworks like Spark, Kafka, Hadoop or Storm
Experience working closely with large, vast and unstructured data sets
Proven ability to develop and ship robust machine learning solutions to solve business problems
Strong scripting ability and knowledge of versioning systems (Git)
Ability to clearly communicate findings to technical and non-technical audiences, verbal and written
Experience providing practical business insights from large, complex data sets is also an advantage

Manager, Team Data Science Resume Examples & Samples

Help lead TMBO’s efforts to identify opportunities to apply predictive modeling to grow the NBA’s team business
Enhance current and/or create and automate superior predictive models and machine learning algorithms to support team business metrics
Understand the current data structure of the NBA and be a thought leader on how best to leverage that information to drive insights while developing ideas about potential future data sources and streams
Enhance the current report generation processes within TMBO through the lens of potential automation and conversion to different, more useful development environments (R, Python, Tableau, etc.)
Consult with NBA teams on experimental testing, modeling and process automation
Serve as a liaison between the League and teams, ensuring uniformity in data format and collection as well as the continued operation of two-way data feeds
Collaborate with the NBA's global data strategy team to develop a comprehensive view of NBA fans and utilize the data to generate revenue for teams and the League
Demonstrated skills, knowledge and experience in converting data into insights
Passion for developing methods to streamline processes and data flow through automation
Experience in understanding existing data structures, including collection and standardization processes and ability to help shape future processes going forward with an eye toward business needs
Ability to consult with business analysts and operators to understand their data needs, develop systems to access the data and convert the outputs into various formats for analysis
Comfort with ambiguity in data and experience in working with partners to optimize third-party data streams
Detail-oriented, extremely organized with ability to manage projects from inception through execution
Strong communication skills, both verbal and written, particularly for presentations
At least 2 years of experience in an advanced analytical role, preferably in an industry focused on leveraging data to develop loyal fans or customers
Expertise in leveraging R and Python to perform statistical analysis as well as automate processes
Expertise in using SQL Server Management Studio to tap expansive databases
Expertise in using the SPSS Modeler platform to derive insights from expansive databases
Expertise in creating informative data visualizations through Tableau
Familiarity with other coding languages, statistical analysis tools and business intelligence platforms preferred
Familiarity with Microsoft Office software required, exceptional skills in Excel and VBA preferred
Bachelor’s degree in a computer/information science, statistics, engineering or other quantitative field required

Data Science Modeling Resume Examples & Samples

Machine learning, data mining and statistical modeling on both structured and unstructured data to extract insights in a timely manner
Collaboratively managing all aspects of the research process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring
Effectively delivering research findings to investment teams, portfolio managers and other internal clients
Working with the team to help drive innovation on metrics and modeling strategies
Willingness to teach as well as learn
Extensive knowledge in machine learning, statistical models and data mining tools
Advanced degree in a quantitative discipline
Good programming skills: SQL/NoSQL, Python (preferred), R, Scala, Spark and etc
Ability to think creatively and independently

Director of Data Science Resume Examples & Samples

Lead, nurture, and grow a team of Data Scientists
Drive the creation and implementation of best practices for statistical data modeling, analysis, and machine learning; data exploration and reporting tools; and processes that allow data science to team to work efficiently within and also outside of the tech org
Work closely with teams in the tech organization including product owners, data infrastructure, and engineering, as well as people outside the tech organization including business, edit, creative, and video
Help determine what metrics are critical to the organization, build tools and communicate key metrics to executives, editors, developers, and others within the organization
Use data to better understand what our readers and viewers are doing and why
Consider the use of data in a distributed internet. At BuzzFeed, we create content and analyze how that content performs on both our platforms and across the internet

Data Science Specialist Resume Examples & Samples

Experience with statistics/machine learning packages such as R, scikit-learn, SparkML, Python (pandas) etc. and techniques such as Bayesian Methods, Clustering, Decision Trees, Linear and Non-Linear Programming, Random Forests, SVM etc
Expert SQL (Hadoop)/data manipulation skills required including cleaning and managing data
Extensive experience in an analytical/algorithm/data/software development role especially in online ecommerce environments
Working knowledge of programming in Java and/or Scala
Translate complex results into clear insights and then communicate verbally and through compelling written documents is a must
Ability to adapt and learn quickly in a changing environment

Data Science Resume Examples & Samples

Graduate degrees required Ph.D degree preferred
Extensive experience with common analysis tools - SQL, R, Python, Julia or similar
Demonstrable familiarity with programming concepts
4+ years experience in quantitative analytical roles
Highly analytical and able to extract key insights from data then communicate them clearly and effectively to stakeholders

Data Science Resume Examples & Samples

A strong record of prior research and / or product development experience
Familiarity with technical tools for analysis - Python (with Pandas, etc.), SQL, Stata, Matlab, R
A Research to Implementation Mindset - ability to spearhead a project from idea to experimentation to prototype to implementation

Data Science Resume Examples & Samples

2+ years of experience in quantitative analysis experience (preferably in an engineering or product role)
Quantitative background in Statistics, Computer Science, Math or other technical field. Graduate degrees preferred
Experience with common analysis tools - SQL, R, and Python. Demonstrable familiarity with code and programming concepts
Driven and focused self-starters, great communicators, amazing follow-through - you are entrepreneurial and love the responsibility of being individually empowered

Data Science Associate Resume Examples & Samples

Scope
Ph. D. or Masters/Bachelor with relevant experience providing. The degree should be in computer science, applied mathematics, statistics, machine learning, chemistry, or a related field with emphasis on analytics
Expert level skills in SQL, SQL Server Reporting Services
Proficient in Linux environment
Familiarity with a scripting language: e.g. Perl, Python or a programming language: e.g. Java
Familiarity with a data visualization tool: e.g. Tableau, D3.js, R
Ability to process and synthesize complex data
A person who can serve as an individual contributor while actively adding to the team’s core competencies
Experience in Data Science within a business environment: building forecast models from time series, feature engineering, and custom analyses for the business
Ability to take full ownership of data product development and able to put on multiple technical as well as business hats

Manager, Consumer Analytics & Data Science Resume Examples & Samples

Create and deliver standard consumer insights around consumer profiling, market sizing, and target market analysis to key stakeholders
Develop presentations around insights to be delivered to constituents at all levels: strategic, tactical, operational, and across function: marketing, operations, finance, sales, etc
Jointly create solutions, with key business areas, around the appropriate analytics tools to solve their business issues
Querying databases and performing statistical analysis; strong understanding of statistics and statistical theory
Strong communication skills (written and verbal); ability to present communication plans to customers
Highly evolved problem-solving skills and adept at understanding and resolving unstructured problems
Strong team player, adept in multi-tasking
Bachelor’s degree, preferably in a quantitative / business field such as Economics, Statistics, or Business Management
3+ years of statistical modeling experience
Proficiency in distilling insights and presenting to business leadership
Experience utilizing both qualitative analysis (e.g., content analysis, hypothesis testing) and quantitative analysis techniques (e.g., cluster analysis, inferential statistics)
Ability to query databases and perform ad hoc analyses
Experience with applications such as SAS Enterprise Miner, Stata, or SPSS
Experience working within an ambiguous / fluid data enterprise; ideal candidate should be able to adapt well to change and thrive in a multi-matrix organization

VP, Predictive Analytics & Data Science Resume Examples & Samples

Serve as a leader by providing strategy, insights, and guidance around measurement, campaign analytics, reporting, and proprietary primary data research and secondary data products
Create broad business insight for our enterprise using data assets
Define the Machine Learning and Artificial Intelligence technology strategy
Use creativity and vision to go beyond the current tools and identify solutions to problems that will drive new strategies and business results
Lead the charge to develop a Data Science network of capability to tell data stories and turn insights into actionable outcomes that influence strategies
Partner with various teams throughout the organization to help drive discipline and rigor in business planning and optimization by working with key analytics partners
Lead the effort to develop and apply advanced analytics including customer segmentation and predictive modeling
Serve as a spokesperson for data, advanced analytics and insights
Create and drive standards, procedures and accountability policies
Develop and manage a team of highly motivated and intelligent individuals towards common goals
15 + years of increasing and relevant experience in analytics function
Academic background in mathematics, statistics, econometrics, quantitative analytics, or related field; Advanced degree preferred
Demonstrated advanced analytical skills, evidenced by expert knowledge in statistical analysis, segmentation, descriptive and predictive modeling
Proven market research, testing, consulting and project management skills
Excellent written and verbal communication abilities
Proven ability to scope technical requirements for delivering measurement/analytics plans and products
Proven leadership skills, evidenced by obtaining results through cross-functional teams in different geographies and cultures
Previous experience leading global teams of technologists, including senior professionals in the data science field
Track record of success establishing buy in for ideas
Conceptualization: To visualize the solution, process or infrastructure that is required to satisfy the business requirement
Innovation: To explore new opportunities that add to the business value proposition or reduce costs
Results-driven attitude: To be firmly in control of delivering an appropriate set of Enterprise Architecture products and services in a timely fashion
Enterprise perspective: To understand the broader implications of strategy across all business units, while visualizing the project-level implications
Matrix Effectiveness: To lead without direct reporting relationships, as well as to navigate multiple business and technical departments
Foresight: To manage the short-term, medium-term and long-term planning horizons concurrently
Consensus building: To enable a group of people with diverse backgrounds to accept a majority or common conclusion
Facilitation: To guide a debate without forcing a conclusion
Leadership: To influence a broad audience to adopt a particular path and be respected as a leader
Logic and Business Acumen: To select the best solution to achieve the business goals from a range of options to resolve an issue or seize an opportunity
Communication: To effectively convey the results of the architecture, the process to develop it, and the value it provides; To listen and engage varied partners to create true understanding

VP, Data Science Resume Examples & Samples

Bachelor’s degree in quantitative field such as Mathematics, Statistics, Engineering, Economics or related field from a four (4) year college or university. Master’s degree or higher preferred
Extensive experience applying predictive modeling, data mining and statistical analysis to solve business problems
Experience demonstrating teamwork and critical thinking skills to accomplish tasks
Strong written and verbal presentation skills and the ability to communicate complex and technical ideas to non-technical people, including the highest level of management
In-depth knowledge of Excel, SQL, R, SAS, Python and machine learning algorithms
Strong organizational and follow-up skills
Skilled in complex problem solving, critical thinking and decision making

Architect Data Science & Analytics Resume Examples & Samples

Interfacing with the broader controls community to define the technology strategy and roadmaps for on-premise data structuring & analytics
Conceptualizing products with product management, co-innovating with customers and ultimately developing enabling technology for the product roadmap
Partnering with experts in GRC, GE Intelligent Platforms, and GE Digital in strategic initiatives driving the future on-premise analytics
Setting strategy and standards through data architecture and implementation leveraging big data and analytics tools and technologies
Leading the technical execution of key development programs focused on software and analytics
Steering requirements on the controls platform architecture and user experience (UX) to support solutions with on-premise analytics
Adopting a FastWorks mindset to support the development of solutions for customers. beginning with rapid prototypes / proof-of-concepts / minimum viable products (MVPs) of controls developments. Evolve products long-term with feature rich enhancements
Protecting key intellectual property in the space through patent applications
Active mentorship of technologists lending experience / knowledge to help solve technical problems
Bachelor's Degree of Science in Computer Science or in a “STEM” major (Science, Technology, Engineering, and Math) from an accredited college or university
Minimum of 8 years of experience in a controls engineering capacity with a focus on product development
Minimum of 8 years of software development experience focused on analytics & data driven solutions for complex systems
Advanced Degree (MS or PhD) in a “STEM” major (Science, Technology, Engineering, and Math) from an accredited college or university
Demonstrated experience in working with state-of-the-art Artificial Intelligence (AI) methods
Demonstrated experience both physics-based and data driven models for complex systems
Familiarity with the power generation segment including the operation and maintenance of heavy duty gas turbines & combined cycle power plants
Strong knowledge of Object Oriented Analysis and Design, Software Design Patterns, and Java coding principles
Ability to influence others and create a cohesive group
Ability to succeed in a global team environment
Highly-motivated, energetic, confident, self-starting personal characteristics
Ability to interface effectively with all levels of the organization
A passion for people and a genuine interest in the mentoring technologists in the field of data sciences and software

Halo Insurance Data Science Senior Associate Resume Examples & Samples

Designing and building analytical procedures
Performing unit and system testing to validate the output of the analytic procedures against expected results
Utilization of ETL tools and techniques, such as Informatica, SSIS, Mapforce to map transformation and flow of data from a source to a target system
Utilizing techniques such as multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queueing theory, algorithmic knowledge to efficiently research and solve complex development problems and application of engineering methods to define, predict and evaluate the results obtained
Developing solutions through SQL development, data analytics and programming/scripting utilizing Python, Java, C#, C++, Python, .NET, VB, etc

Data Science Specialist Resume Examples & Samples

Master’s Degree from an accredited institution
Minimum 5 years of experience and extensive knowledge of machine learning and sensor fusion technologies applied to connected and intelligent vehicles
Ability to apply six sigma methodologies including QFD, design of experiments, and reliability engineering in the course of their work. Green belt certification in DFSS or DMAIC is highly desired
Proven track record for IP generation and publications in reputable peer-reviewed journals is highly desired
Master’s or PhD Degree in Electrical Engineering, Computer Science, Statistics or equivalent technical field from an accredited institution
Software development skills in one or more high level languages (C#/C/C++/Java/Python) and rapid prototyping platform (MATLAB/SIMULINK)
Expertise with common machine learning tools (Weka, R, RapidMiner and etc.) and experience with AWS or Azure is a plus
Experience in building production grade machine learning and sensor fusion enabled solutions end to end is a plus
Experience in leading projects with multiple stakeholders in matrix organizations and strong program management skills

Senior Manager of Data Science Resume Examples & Samples

Data warehouse
Work with IT and/or corresponding teams to ensure the data warehouse at each property has all the relevant customer information across segments (e.g. casino, FIT, group attendee, group organizer), and manage the roadmap for information stored in various locations (e.g. casino and loyalty system, property management system, email/SMS acquisition systems, dining/show reservation system) to be consolidated in the data warehouse at each property
Support properties in maintaining the data integrity
Collate and develop best practices on building, testing and deploying predictive models ranging from predicting customer value and trip frequency to imputing customer preferences and best-fit offer
Support properties in customizing best practices to their specific market and competitive situation
Campaign management
Collate and develop best practices on managing campaigns by customer segment (e.g. casino, FIT, group attendee, group organizer), by test/control offers and by channel (e.g. email, SMS, kiosk, slot machine, in-suite), and support properties in maximizing campaign results throughout the customer lifecycle (e.g. acquisition, trial, incline, decline, lapse)
Ensure the campaign management tool is leveraged throughout the campaign lifecycle from offer design thru deployment and response thru post-analysis
Identify and advocate profitable opportunities for cross-property campaigns
Rules engine
Collate and develop best practices on building, testing and deploying marketing rules ranging from triggered campaigns to real-time marketing
Support the properties in developing and maintaining automated, self-service reports
Develop and maintain the cross-property, real-time dashboard, relevant for senior marketing leadership
Other duties as directed by management
Advance degree in the field of computer science, physics, mathmatics, statistics or operational research
Minimum 3 to 5 years of experience in marketing and/or predictive analytics in the gaming/hospitality, financial services or internet/mobile industries
Expertise with SAS (SAS Data Flux, eGuide, CI, eMiner, Report Studio) required
Expertise with R/Python/Java preferred; direct involvement in working with large volumes of data and building, deploying and measuring (a) predictive analytics models (i.e. SVM, decision tree, clustering, logistic regression, linear and non-linear regression), (b) test/control offers, and (c) real-time marketing rules; experience with US and Asian markets preferred
Proven track record in applying predictive analytical skills to increase customer response and revenue
Ability to complete multiple tasks and to proactively impact the business
Ability to synthesize findings, insight and recommendations from data and analytics; superior cross-functional team and structured project management skills
Excellent communication and coaching skills
Ability to Travel
21 years of age
Ability to read and communicate effectively in standard English in written and oral business communications
Regular and reliable attendance is an essential function of the job
Proof of authorization to work in the United States

Cloud Data Science Developer, Senior Resume Examples & Samples

3+ years of experience with Big Data analytics
Experience with using distributed computing technologies, including Hadoop MapReduce and Spark to write data analytic processing jobs both in batch and streaming against structured and unstructured data
Experience with leveraging NoSQL database systems, including Accumulo, HBase, or Neo4j
Experience in complex data processing pipelines, including ETL and data ingestion dealing with unstructured and structured data
Experience with named entity extraction and resolution across a corpus of diverse data sets
Experience with implementing and leveraging geospatial indexes in PostGIS or Solr 4.0
Experience with implementing rapid response query solutions on Big Data platforms, including indexing for temporal, spatial, and textual combinations and variations
Experience with implementing and leveraging Solr, Elasticsearch, other scalable Lucene, or similar search engine implementation
Experience with moderate relational databases, including SQL
Experience with exposing query and analytic capabilities, including SOAP-based or RESTful services

Technical Sourcer, Data Science Resume Examples & Samples

Work closely with Recruiters and hiring managers to deeply understand technical requirements of the role, the function and how it fits into the organization
Team with Coordinators and Recruiters to manage an efficient model of operation
Strategize different ways to build talent pipelines and execute on tactical research, referral generation, events and sourcing campaigns
Find, engage and activate passive candidates through the use of Boolean, LinkedIn and alternative search techniques
Screen resumes and interview candidates to determine fit
Regularly track pipeline activity to share with internal stakeholders
Recommend and drive improvements that impact local pipeline areas

Technical Recruiter, Data Science Resume Examples & Samples

7 + years of full cycle recruiting experience, ideally for technical teams
Data driven and a high level understanding of recruiting funnel metrics
Experience independently partnering with leadership on hiring initiatives
Ability to effectively influence and drive toward results in a fast-paced environment
Creativity in problem-solving, resourcefulness across all stages of the hiring cycle
Demonstrated ability to be detail-oriented, and have strong organizational skills
Experience in compensation and general HR requirements as related to hiring
Ability to work effectively in a highly team-based environment
Passionate about Facebook and knowledge of the product and business
Experience using Microsoft Suite

Director of Data Science & Predictive Modeling Resume Examples & Samples

Thought leader on improvements within operational modeling practice
Develop performance forecasting tools and projections
Create predictive models to ensure client’s KPI success
Support the development and maintenance of datasets for consumer segmentation, consumer modeling, and test/control reporting
Degree in Stats, Comp Sci, Ops Research, Engineering or related field
Standard SQL, and NO SQL applications experience
Proficiency in predictive modeling techniques such as bi-nominal and logistic regression, nearest neighbor modeling, CHAID modeling, etc
Deep understanding of test and control methodologies and campaign set up techniques
Knowledge of brand media measurement, panel and direct marketing analytics
Desired: Python and Pandas, MapReduce, Hadoop and other NO SQL platforms

Head of Integrated Data Science Resume Examples & Samples

Independently develop and implement the scientific vision for the global QSI Integrated Data Sciences (IDS) group specifically related to NGS and digital medicine data for BMD/QSI, including recommending global solutions and applications that will increase efficiency, productivity and access to data
Lead a group of experienced bioinformatics scientists and software engineers and grow the team by attracting and retaining the best talent
Contribute to overall strategic vision of QSI as a member of the QSI Leadership team
Interface with key leaders and scientists across NIBR and Novartis especially other bioinformatics groups, statistical and modeling teams to address and resource bioinformatic, computational and software development needs
Oversee the development, maintenance and sharing with other teams within NIBR and Novartis of applications and analytical methods/pipelines built internally by IDS
Maintain expertise in best practices for data handling especially as it applies to “big data” (data warehousing, data integration, archiving, hadoop, spark, machine learning etc.)
Provide scientific leadership on all large data analytic methods and biomarker activities, both within Novartis and externally
Identify, build and manage new collaborations with internal partners at Novartis and external academic and industry groups
Drive the development of new analytic methods in collaboration with internal NIBR/ Development groups or external groups that address BMD/Translational Medicine needs

Data Science Program Manager Resume Examples & Samples

8+ years of experience leading product development projects
3+ years of experience in an FDA regulated industry
Project leadership experience in a stage-gate design control system
Must possess managerial courage; must be confident managing risks and making decisions that will likely have a large impact on strategic organizational objectives. Works independently; self-directed
Ability to manage teams comprised of individuals with diverse backgrounds; including but not limited to instrument and disposable R&D, Software, Hardware, Regulatory, Manufacturing, Quality Assurance, Clinical and Marketing. Project management experience with international teams and external engineering service providers
Excellent communication and interpersonal skills, negotiating; managing change; goal setting; planning and organizing teamwork; ability to address difficult situations; conflict resolution; resource constraint and problem solving. Strong written communication skills
Expert-level skills using the tools and techniques of Project Management. Successfully managed multiple projects from conception through commercialization, most desirably in the medical device industry. Ability to interact effectively with customers and Marketing to ensure that project scope and requirements are clearly defined and executable
Experience managing complex medical technology development programs. Exposure to systems engineering, concept engineering, hardware and software development, validation and systems integration
PMP Certification, Lean Leader/Six Sigma Certification
The employee is also required to interact with a computer, and communicate with peers and co-workers

Director, RWI Data Science Resume Examples & Samples

Ensure that advanced analytics solution development projects are statistically valid and appropriately planned, resourced and executed
Establish effective communication with all internal stakeholders to understand and support the RWI&A analytical and statistical needs of the business; and
Manage collaborations and lead statistical analysis across multiple external database vendors and experts to ensure that Astellas sponsored RWI&A initiatives are clinically relevant, address potential market demands and support the needs of patients, health care providers and payers
Support the Senior Director, RWI&A by leading a team that provides data driven insights for all RWI&A projects
Manage, mentor and develop a high performing data scientists team through hiring and/or development of in-house talent
Provide oversight of RWI&A statistical/analytical expertise and input for RWI&A projects/initiatives, protocol development, regulatory documents, scientific publications, and independent research proposals across multiple teams in all therapeutic areas for both in-line and development products
Lead and prioritize multiple concomitant RWI&A projects, including but not limited to, data generation in marketing sciences, health economics, comparative effectiveness, real world data, patient reported outcomes, disease state and epidemiologic initiatives across therapeutic areas
Act as a project leader for selected projects assigned to the RWI&A data science team and interact closely with RWI&A statistical methodologists team members during the execution of projects
Develop data mining and/or data modeling plans to support RWI&A projects and programs
Contribute to and/or lead the design, assessment and interpretation of RWI&A data in a statistically relevant context to support data needs for the company's portfolio
Ensure quality and consistency of key data science deliverables by developing robust processes
Ensure that statistical analyses are performed in accordance with good statistical practice and applicable regulatory guidelines
Develop Astellas RWI&A analytical and reporting processes and governance for database utilization, programming, and reporting activities
Identify and manage collaborations across multiple external database vendors
Ensure team members have a robust understanding of advanced analytics methodologies and contribute to predictive modeling standards, data analyses techniques and model managements
Build strategic statistics collaborations with Astellas Global/regional colleagues and external partners to advance RWI&A initiatives as appropriate
Serve on or lead intercompany RWI&A or other committees within Astellas as appropriate
Will provide data science support for new product licensing and acquisition opportunities for marketed and late-stage compounds as it relates to RWI&A
M.S. or Ph.D. in Statistics or other quantitative fields like Mathematics, Engineering, Computer Science (requires minimum 10 years' experience)
Minimum of 8 years' experience in applying statistical/quantitative methods in biomedical research, extensive applied data mining and modeling experience
Experience in working on project teams and managing projects and people within a matrix environment
Advanced and broad knowledge of statistical methodology and strong understanding of industry practices related to the statistical analysis and modeling of clinical data
Experience with processes and procedures in data management, data standards such as CDISC and SAS programming
Experience with multivariate modeling and underlying data assumptions
Expertise in linear and non-linear regression modeling, data mining and machine learning techniques. Special emphasis on classification and segmentation methods
Data modeling experience using SAS or other statistical programming languages
Proven ability to rationalize disparate data sources and the ability to intuit the large picture within a dataset
Advanced meta-analysis capabilities
Excellent organizational, people, project and time management skills
Solid oral, written, and presentation communication skills (e.g. able to clearly communicate statistical and epidemiological issues and methods to statisticians and non-statisticians)

Senior Software Developer, Data Science Resume Examples & Samples

Work with management, developers and operations staff on projects related to technology and architecture of digital media systems including identifying and implementing products and services for Web based delivery
Be a creative thinker and self-starter, able to identify solutions and quickly prototype proof of concept. Will be expected to quickly understand and embrace new technologies
High and low-level responsibilities including coding for prototype and production systems
10+ Years of software development and architecture
Excellent time management skills, with the ability to prioritize and multi-task, and work under shifting deadlines in a fast-paced environment
Must have 5+ years of experience with Java software development in support of big data algorithm implementation and analytics implementation / coding. Understanding of Search and Recommendation services preferred
Must have 2+ years of demonstrated track record of rapid prototyping of system components as part of big data system architecture. Experience with HDFS, Spark, Hive programming and analytics languages, e.g. Scala, R preferred
Must have 2+ years development experience in organizing large data sets for analytics processing in SOLR, MongoDB, Cassandra, NewSQL or Spark RDD data stores
Must have 2+ years practical experience on architecture and deployment of software components into cloud based infrastructures, e.g. Amazon Web Services. Experience with cloud management services, caching, scale-out and use of cloud APIs essential
Must have 2+ years of experience with REST or Web Services API development. Demonstrated competence in full life cycle management of REST or Web Service APIs including specification and system deployment. Familiarity with API authoring and frameworks tools preferred
Must have experience in developing and supporting live 24x7 production and mission critical applications
Experience with Social Media API level interactions. Familiarity with contemporary social media site access and social graph navigation considered a plus
Experience in MS SQL development and architecture including Stored Procedures and Replication Methodologies. Postgress, Oracle (PL/SQL) and MySQL development a plus
Familiarity with Intelli-J IDE considered a plus
Previous Broadcast experience considered a plus

Program Manager, Software & Data Science Resume Examples & Samples

Manage planning/discovery and implementation of short and long-term projects on time and on budget
Work collaboratively to assign team resources according to skillsets
Define goals and user stories/scope for projects
Proactively manage project iterations, deliverables, and priorities
Write status reports as needed and communicate updates to end users and stakeholders (Operations, Laboratory, Bioinformatics, and Software Engineering)
Mitigate risks and provide solutions to address business needs
Adaptable personality in fast-paced startup
Ability to focus, set priorities, yet maintain flexibility in a changing environment
Knowledgeable about implementing appropriate project management methodologies
Expert in project management tools (JIRA, Asana, …)
3-5 years of experience in Technical Project Management (IT, Science, Software)
Dynamic team player who communicates effectively
Scrum master Certification preferred. Will also consider Master’s Degree or PMP Certification
Experienced in scientific research and program development
Experienced in machine learning, genomics, bioinformatics and/or clinical informatics

VP of Data Science Resume Examples & Samples

Facilitate matrixed working group prioritizing significant cross-functional data opportunities
Articulate and refine data strategy unifying disparate domains
Derive valuable and actionable insights from internal and external data
Collaborate with fellow GIS leaders, Vertex executives, and business partners to advise and shape future strategy
Participate in technology roadmap teams to ensure overall alignment of technology vision
Bachelor’s degree
Deep understanding of how to identify and realize data science opportunities
Ability to quickly establish credibility and trust with leaders and peers, both internally and externally
Outstanding listening skills to understand Vertex’s strategy, goals, and needs
Ability to win support for vision and champion initiatives within a matrix organizational structure
Comfortable working in a non-defined environment
Proven ability to work cross-functionally and collaboratively

Data Science Internship Resume Examples & Samples

Must be pursuing a MBA, MS or PhD degree in Actuarial Science, Analytics, Applied Statistics, Business Analytics, Business Intelligence & Analytics, Civil Engineering, Computational Science and Engineering, Computer Science, Economics, Industrial Engineering, Industrial Organizational Psychology, Informatics, Information Systems Management, Marketing Analytics, Mathematics, MBA with Technical Undergrad, Mechanical Engineering, Operations Research, Predictive Analytics, Quantitative & Computational Finance, Quantitative Finance, Statistics, or equivalent
Applicants must a minimum cumulative Grade PointAverage of 3.0/4.0 scale (no rounding)
Experience with SAS, R, SPSS, Minitab, Tableau,or similar tool
Strong technical and problem solving skills
Self-Initiative
Effective communicator
Work well in team environment

Data Science Technical Product Manager Resume Examples & Samples

Develop the vision and strategy for the data platform and model ecosystems to help support data scientists across the company
Identify,synthesize and prioritize business use cases to help develop a scalable data platform and modeling ecosystem
Use your strong business judgement and technical knowledge to inform an understanding of what is technically possible, and strategically critical to success
Engage deeply with data scientists and technical leaders to evaluate new technologies and product concepts
Own the data platform and model ecosystems product roadmaps – be able to synthesize multiple inputs and prioritize portfolio of business needs into a clear product strategy and manage ongoing feature prioritization
Author user stories and build lightweight prototypes and mockups to define product requirements
Effectively influence business stakeholders to help drive a unified and clear product strategy and the execution plan
Define clear milestones and deliverables, and partnering with data scientists, data engineers, business stakeholders, and end-to-end teams to ensure your vision becomes reality
Clearly communicate your product vision, requirements and features across teams and throughout the organization
Partner with key stakeholders and internal teams to define and execute an adoption strategy for the products through sharing subject matter expertise and providing user perspective
B.Sc/M.Sc in machine learning, computer science, statistics, applied math or a Data Science related field
Experience working with varied forms of data infrastructure including relational databases, Mapreduce/hadoop and column store
Ability to work with diverse teams of partners and collaborators and lead through influence
3+ years of experience with dimensional data modeling & schema design in data infrastructure
Excellent communication skills with both technical and non-technical audiences
Unmistakable passion for elegant and intuitive user interfaces
Minimum 2+ years of relevant experience in product development and product management in consumer facing technology companies

100

Data Science Best Practices Lead Resume Examples & Samples

Work with Data Scientists, Data Engineers and business partners to define best practices for conducting data science research and delivering data driven products
Define an evaluation framework for Data Science organizational maturity and conduct assessments with leaders across the company
Work with different organization within the company to create and socialize guidelines on how to accelerate Data Science value creation for their use cases. Monitor and communicate implementation of the guidelines to leadership teams
Support adoption of best practices for both leadership teams and individual contributors across the company
MSc/Ph.D. in machine learning, statistics, applied math or a Data Science related field
Experience as a consultant for applying Data Science solutions in the private/public sectors
Ability to work with diverse teams of partners and collaborators and demonstrated ability to lead through influence
Ability to decompose complex business use cases into analytics projects
3-5 years experience working as a Data Scientist preferably in large organizations
Ability to multi-task between several projects

101

Data Science Lead Resume Examples & Samples

People and technical leadership with focus on creating team environment for individuals to develop and succeed
Lead innovation using latest innovations in machine learning, predictive analytics and optimization algorithms
Lead team to develop and deploy newest technologies across the globe
Identify and drive the development of innovative methodologies to accelerate our pipeline and product development efforts
Lead development and presentation of compelling, validated stories to all levels of organization, including peers, senior management and internal customers to drive both strategic and operational changes in business
Develop strong and successful collaborations among various Monsanto R&D teams
Identify opportunities to reduce cost of major breeding operations
PhD in Mathematics, Computer Science, Electrical Engineering, Bioinformatics, or other quantitative disciplines
3+ years experience in applying Machine learning algorithms (Deep Learning, Ensembles, SVM) and optimization concepts (network optimization, stochastic programming, optimal scheduling and routing) and 5+ years experience with statistical programming packages like R, MATLAB and Python and experience with a passion for solving analytical problems involving big data
Experience with Big data ecosystem including Hbase, MongoDB, MapReduce, and Spark, and virtual infrastructure and Infrastructure as a service such as AWS and Google cloud
Creative, proactive, bold and out-of-box thinking
Exceptional leadership, verbal and written communication, interpersonal skills and problem solving skills will be required to negotiate scope/resources, manage, and project status, and synchronize activities with team members, stakeholders, and management
Ability to work in a matrix environment, leading & influencing people at varying levels of responsibility
Experience in method development and the ability to define and implement desired technical strategies

102

Data Science Program Manager Resume Examples & Samples

Strategic Alignment
Processes and tools are in place to ensure alignment with the IT and SESIT strategy and core priorities
Orchestrate the process of creating strategy with the Leadership Team
Be an active member in organizing, driving, and contributing to long-range strategy, business planning, organizational priorities, and related team activities (e.g. MYR, Business/Strategy reviews)
Fiscal Accountability
Budgets are managed according to targets and fiscal compliance with financial controls Organize and drive financial planning in partnership with IT finance and the leadership team
Submit financial plans with the flexibility to adjust to changes in priorities and targets
Ensure forecast accuracy within acceptable variances Provide oversight and processes/tools related to internal cross-charging of IT services
Manage our software licensing in accordance with the team’s growing need
Execution Excellence
Excellence in demand management and capacity planning, such that the organization effectively selects the key projects to work on and is able to report out the business impact to IT as part of delivering on strategy
Orchestrate process for collaboration and driving efficiencies to achieve business results. This includes driving decision making, continual awareness of critical issues and business results in partnership with the LT, Finance, HR, Clients and Admin Community through a well-organized and productive series of meetings and reviews
Organize and drive internal communications (e.g. All Hands meetings, SharePoint, Yammer, etc.)
Drive communication of team success through Yammer and DDSG Sharepoint
Track progress against org priorities, decisions, and action plans
Domain Experience in Process Excellence and Analytics
Candidate must have strong critical thinking skills and experience across several relevant business domains
Should possess ability to conceptualize complex business process problems and recommend solutions
The candidate must be able to work independently with little guidance and must have a passion for data science
Must have ability to help us quantify benefits from our projects and communicate that to internal clients and stakeholders, and executives
Demonstrated excellent analytical, problem resolution and decision-making skills
5 years of experience as a Program Manager
Bachelor’s Degree in quantitative field
Six Sigma Black Belt certification
Advanced skills in Visio, Excel, Word, Power Point, and MS Project and Microsoft PowerBI
Knowledgeable in Software delivery life cycles - Waterfall, Rapid Application Development, and Agile
Knowledgeable in Statistical Software: JMP, Minitab, , iGrafx, ARIS, R, and Matlab
Work independently or manage a virtual project team that will deliver solutions to challenging business problems
Superior communication skills, both verbal and written
Be able to drive change through cross group collaboration

103

Product Owner for Data Science & Analytics Applications Resume Examples & Samples

Leadership skills to guide customers and development teams
Willingness to learn about new mathematical or technical concepts
Interest in designing and developing analytical end-to-end solutions
Willingness to participate in the sales process as a subject matter expert

104

VP, Measurement & Data Science Resume Examples & Samples

Lead, nurture, and grow a data science team
Manage multiple projects in parallel and oversee their completion from start to finish, setting goals and project milestones
Promote best practices for statistical analyses and machine learning modeling
Help determine what metrics are critical to the organization, construct predictive models to optimize those metrics, and build out those projects into useful data products
Use first/third party data sources across digital, linear and social platforms to better understand VMN’s audience and derive insights to increase the value of VMN brands
Work collaboratively with other data strategy teams within the organization
Communicate results to key stakeholders
Graduate degree in a quantitative discipline (PhDs preferred)
10+ years of work experience in advanced data analytics/data science
Extensive experience with data exploration, data cleaning, implementation of advanced statistical and machine learning algorithms (e.g., time-series analysis and forecasting, clustering, and advanced classification and regression techniques such as decision trees, neural networks, deep learning, and ensemble algorithms), as well as rigorous model validation and evaluation
Fluency in at least 1 of the following programming languages: Python, R, C, C++, or SAS
2-5+ years of experience with design and management of relational (SQL) and non-relational (NoSQL) databases; familiarity with Amazon Web Services (AWS) and Redshift is a plus
Knowledge of Spark or Hadoop is a plus
Excellent interpersonal and leadership skills with the ability to develop and guide team members to deliver actionable results
Excellent verbal, written and formal presentation skills
Comfortable interacting across multiple teams and management levels within the organization
Previous background in the media landscape (linear, digital, or social) is a plus

105

Data Science Software Developer Resume Examples & Samples

Designs and codes software components, units, and modules that meet product specifications and development schedules
Performs systems modeling, simulation, and analysis
Tests and debugs assigned components and units
Participates in large system and subsystem planning
Collaborates with hardware engineers on machine characteristics that affect software systems and works with them to resolve incompatibilities
Writes and updates technical documentation such as user manuals, system documentation, and training materials
Troubleshoots problems and provides customer support for software operating systems and application issues
Evaluates incoming datasets against predetermined scorecard and factors to predict level of effort (LOE) required for ETL processes
Generate an analysis report containing a description of data, data quality, and data value for incoming datasets
Review Pentaho analysis reports against the mapping schema to determine potential correlation
Review current manual ETL assessment methods and determine requirements for automation
Develop a sound and substantiated set of ETL processing options based on the analysis findings
Provides input to staff involved in writing and updating technical documentation such as user manuals, system documentation, and training materials
Provide Assessment requirements to development team for automation and refine requirements as needed.9. Prepares reports on analyses, findings, and project progress
Prepares reports on analyses, findings, and project progress
Provides guidance and work leadership to less-experienced software engineers
May serve as a technical team or task leader
User-level understanding of JIRA
Familiarity with various databases (Oracle and Netezza) and associated utilities (such as SQL Developer and SQuirreL)0
Experience working and implementing machine learning algorithms in the big data environment
Experience with Bash scripting
Experience working on systems that handle high volumes of data (hundreds of TB)
Experience with the following is desired, but not required: Tika, Zeppelin, Anjlar.js
2-5 years of related software developer experience

106

VP, Predictive Analytics & Data Science Resume Examples & Samples

Lead by providing strategy, insights, and guidance around measurement, data research, reporting, and proprietary primary data research and secondary data products
Create broad insight for our enterprise to better use our vast data assets
Define Machine Learning and Artificial Intelligence strategy
Use creativity and vision to go beyond the current tools and identify solutions to problems that will drive new strategies and business value
Determine opportunities to package data, insights and analytics products and services to support and enhance products and benefits
Lead the effort to develop and apply advanced analytics to customer operations and predictive modeling to improve member engagement
Serve as a spokesperson for data science and advanced analytics
BA/BS in mathematics, engineering, statistics, econometrics, or related field
Demonstrated advanced analytical skills, evidenced by expert knowledge in statistical analysis, segmentation, descriptive and predictive modeling and big data technologies
Proven ability to scope technical requirements for delivering measurement / analytics plans and products
Previous experience leading global teams, including senior professionals in the data science field
Track record of success establishing buy in for ideas and programs
Advanced degree - Master’s or PhD in mathematics, epidemiology, (bio)statistics, machine learning or related field

107

Data Science Integration Engineer Resume Examples & Samples

Enhance data collection procedures, including applying data cleansing, outlier identification, and missing data techniques that are relevant for building analytic systems
Develop data solutions using current IT, Backend, and Supply Chain frameworks for all the emerging requirements in central planning and site operations
Create automated prediction and anomaly detection systems
Drive integration-related assignments for BE operations in manufacturing, supply chain, planning and engineering
Integrate and onboard suppliers to Micron’s SAP B2B and E2Open Platforms and processes. This includes monitoring subcontractor’s design, integration and test progress as well as supporting E2Open and Micron system integration, test planning and test execution activities
Act as an advocate for Backend Operations Manufacturing during all phases of development and deployment
Participate, collaborate and work with global counterparts and Micron suppliers on issues and process improvement efforts as part of and post-onboarding

108

Data Science Associate Resume Examples & Samples

Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
Implement statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information
Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings
Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform
Bachelor's or master's degree in Computer Science (or Statistics), and strong academic performance with analytic and quantitative cousework is required
Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.)
Knowledge of programming (e.g. Java/Python/R)
Exposure to tools/platforms (e.g. Hadoop eco system and database systems)
Strong attention to detail, with a research-focused mindset
High motivation, good work ethic and maturity

109

Database Architect / Data Science Resume Examples & Samples

3+ years experience with Amazon Redshift; experience with MySQL is a plus, experience with Google BigQuery is a big plus
AWS management and usage is required
Must include significant experience with database design and optimization including writing and executing DDL statements
Understanding of database performance and tuning. Must have a solid understanding of Redshift distribution and sort keys and column encodings
Strong working knowledge of AWS – must have experience spinning up and resizing Redshift clusters, be familiar with RDS, and know how to install a database on an ec2 instance
Demonstrable experience with issue detection and resolution; be ready to provide examples
Working knowledge of backup and recovery procedures
Ability to provide guidance to data scientists, engineers and other team members
Experience with NoSQL databases such as Cassandra, DynamoDB, and MongoDB is a big plus
Working knowledge of Linux
Comfort with Python, BASH scripting and crons

110

Health Data Science Project Leader Resume Examples & Samples

In consultation with the Analytics Director and Analytical Program Managers, initiates, coordinates, and facilitates analytical projects to meet Delivery System Analytics client needs
Based on agreements the Analytics Director and Analytical Program Managers, sets overall project direction to address key Delivery System Analytics objectives and client needs. Assists in the prioritization of projects that compete for limited resources, and the scheduling and sequencing of work across projects to make the best use of Delivery System Analytics resources
Applies project leadership skills, methodological expertise, and knowledge of KP data and analytical resources to determine the scope, design, development, and implementation of Delivery System projects, including partnerships with regional analytical groups and consultation with Health Plan and Medical Group subject area experts
Advises the Analytics Director and Analytical Program Managers on project staffing decisions. Identifies professional development opportunities for Delivery System Analytics mechnical staff based on project requirements
Manages and coaches analytical staff to accomplish project objectives and also develop staff capabilities. Coordinates and supervises the work of non-Delivery System Analytics project participants (e.g. Regional analysts or consultants)
Coordinates project team to effectively communicate project assumptions, methods, and results to clients and other interested parties. Elicits and incorporates feedback from clients to inform the design of project communication materials and enhance their effectiveness
Establishes and maintains effective working relationships both internal and external to the Delivery System Analytics. Engages and sustains support among project participants and clients. Represents the Delivery System Analytics to external partners and clients in communications related to projects
Advises the Analytics Director on technical staff hiring decisions. Responsible for project related training, supervision, coaching and evaluation of healthcare data analysts
Applies analytic knowledge, skills and experience to perform project-related work, complete specific project tasks, and create project deliverables
Minimum thirteen (13) years of experience in an analytical environment required (with no Bachelor's degree) OR
Minimum nine (9) years of experience in an analytical environment required (w/ Bachelor's degree) OR
Minimum seven (7) years of experience in an analytical environment required (w/ master's degree), OR
Minimum two (2) years of experience in an analytical environment required (w/doctoral degree)
Expert in analyzing large, complex, multi-dimensional datasets with a variety of tools
Expert with Business Intelligence tools such as Tableau
High proficiency in the use of statistical analysis/modeling environments such as R, SAS, MATLAB, SPSS
High proficiency with machine learning modeling techniques
Strong Python and Java programming skills
Familiar with SQL
Comfortable with relational databases and also with Hadoop-based data mining frameworks

111

Advanced Data Science Leader Resume Examples & Samples

Use quantitative techniques to solve problems for internal and external Caterpillar customers. Typical problems include determining the most cost effective manner to meet engine emissions standards; determining the principal drivers of health care costs; recommending the optimal supplier for a part; identifying which parts are most likely to yield the greatest cost savings; and identifying sales, rental, and service opportunities for Caterpillar dealers
Lead the discovery processes with key stakeholders to identify business requirements and expected outcomes of high-profile enterprise initiatives
Use highly advanced analytic abilities and industry experience to complete focused projects for a Caterpillar Business Unit, Service Organization, Dealer or Customer with the ability to leverage internal & external global talent pools effectively and efficiently
Demonstrate creativity, foresight and mature analytic and business judgment as you anticipate and solve unprecedented problems, determine program objectives and requirements, organize programs and projects, and work with both within Information Analytics, as well as within the business on new approaches & modeling techniques
Serve as an expert advisor to other analytic teams or to other Caterpillar Business Units or Service Organizations
Assist in the mentoring and development of other information analysts
Be active in external industry and analytical professional associations. Converse with, write strategic documents and deliver presentations to internal business leaders as well as external groups. Debate opinions, test understanding and clarify judgments. Identify underlying differences and resolve conflict openly & empathetically. Ask searching, probing questions, play devil's advocate, and solicit authoritative perspective and advice prior to approving plans & recommendations
Masters degree in mathematics, statistics or related technical field
8 to 10 years of professional experience utilizing quantitative analytics and/or a proven track record delivering analytics solutions to a Fortune 500 organization
Highly proficient in use of statistical packages, advanced and emerging technologies and demonstrated applications including but not limited to advanced and emerging technologies like machine learning, regression, Python/R
Demonstration of the following data scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance & fairness
Experience leading teams and complex projects
Ability to come up with solutions to loosely defined business problems leveraging pattern detection over potentially large datasets
Ph.D. in statistics, economics, mathematics, or a similar field with a minimum of 12 years of progressively responsible, professional experience utilizing quantitative analytics)
Must demonstrate superior accountability, decision-making, initiative, innovation, judgment, planning and organizing, interpersonal skills and the ability to communicate quantitative information effectively
In-depth industry / business knowledge of those Caterpillar operates
Experience using machine learning algorithms

112

Summer Data Science Internship Program Resume Examples & Samples

Model design, development, implementation, usage, and/or model governance
Manage the relationship with related business partners and ensure that modeling projects are delivered in a timely manner
In-depth modeling audits, including process evaluation of modeling related activities such as data quality, model performance tracking, and model governance policy
Leverage industry, economic, and market information to perform valuations of capital investment, loss forecasting, treasury function, and other financial model related activities
Develop and execute analysis using machine learning techniques and methods in areas such as credit risk management, marketing and fraud prevention
Evaluate external data / models and vendors
Expected graduation date is between Aug 2017 and June 2018
Working towards graduate degree (Masters or PhD) in Mathematics, Statistics, Economics, Industrial Engineering, Computer Science or related field
Experience with big data platforms/languages (eg., Hadoop, Hive, Pig, etc.) and/or with machine learning techniques
Proficient computer skills, experience with statistical software and other analytical tools
Proven leadership and excellence in professional, academic and/or extra-curricular experiences
Effective verbal and written communication skills, including the ability to translate ideas into clear priorities
Strong financial and analytical aptitude
Operates as a team player
Ability to interpret data analysis and effectively communicate findings, and make business recommendations based upon data analysis
Ability to execute accurate, quantitatively sound analysis

113

Senior Strategist Data Science & Model Innovation Resume Examples & Samples

Provide consultative support to Management, within and outside of Risk Management on initiatives pertaining to source data strengths/weaknesses. Help form strategic partnerships both within the bank as well as externally and helping communicate progress via various channels
Evaluate advancements in statistical analysis and model development methodologies and software. Work with internal and external partners on big data & advanced analytics initiatives. The Senior Manager will review advancements in the industry and identify ways this learning could be used to transform current methodologies, tools and processes. He/she will use this knowledge to deploy innovative ideas that challenge existing assumptions and processes
Identify and recommend improvements that streamline, automate, and standardize data processes. Research best practices and propose innovations designed to enhance Risk Management’s ability to increase profitability and enhance customer experience
Liaise with external vendors and data providers to review proposals and submit recommendations for acquiring new data sources

114

Data Science & Analytics Manager Resume Examples & Samples

Lead development and implementation of scalable algorithms for a range of areas such as buyer activation, predicting next purchase, product recommendations, similar listings, inferring search query and user churn. Collaborate with data engineering team to implement data science algorithm in production environment as needed
Engage with executive team to understand the business priorities. Deliver value across the organization by identifying, recommending and executing data science initiatives in-line with business priorities
Partner with data engineering team to guide the vision and roadmap for the data and analytics technology infrastructure that ensures reliable delivery of high-quality data and insights
Collaborate with Data team leadership team to develop and drive Data team growth strategy
8+ years of experience in analytics, data science and business intelligence with increasing responsibility and at least 5 years in management and leadership capacity
Hands on experience working with building data science solutions on Big data, ideally clickstream data in high data volume sectors such as ecommerce, gaming, social network etc
Domain expertise in subjects such as activation modeling, acquisition attribution, recommendation systems, customer lifetime value, retention and attrition models, survival models, and experimental design (Multivariate/A-B testing)
Strong end-user level understanding of data warehouse and data integration architectures and tools
Hands-on experience with at least few of the traditional and recent data science and modeling methodologies - linear/non-linear modeling, multiple regression, decision trees, random forest, neural net models, SVM, Ensembling models, recommendation algorithms, deep learning algorithm and nonparametric bayesian modeling etc
Proficiency in Python, R, Spark-ML, Spark SQL and Hive
M.S. in Statistics, Applied Mathematics or Computer Science is required. Ph.D. will be a plus
Experience in ecommerce industry is a big plus

115

Logitech Data Science Internship Resume Examples & Samples

Bachelor degree in mathematics, statistics or computer science or related field; Master degree preferred
Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), and statistical modeling (like Python or R)
In addition, preferable skills and behaviors include
Not afraid to propose innovative approaches

116

Principal, Data Science & Member Insights Resume Examples & Samples

Develops and maintains relationships with key improvement leaders within Vizient members
High level of competence in analytic tools, particularly Excel and Vizient’s Clinical Data Base in order to conduct comprehensive analyses
High level of knowledge in statistics and the use of data in performance improvement
Able to turn data into insights through experience and knowledge of healthcare
Interprets trends, regulatory changes, and/or forecasts, and anticipates impact for members
Work with member/client to implement identified opportunities and make recommendations to management and members and provide guidance in selecting alternatives for improvement of quality, safety, operations and supply chain
Designs and creates charts, graphs, tables and reports to support findings and develop recommendations
Masters in a business or healthcare related field, and a PhD or MD is preferred
5 years of work in a hospital preferred, or 10 years in a healthcare related organization
Strong knowledge in statistical process control and the study of variation
Documented use of having a role in an improvement in healthcare
Hospital leadership experience involving physician alignment is helpful
An in-depth understanding of physician organizational structures, governance, and healthcare trends
Maintains a solid ability to problem solve and demonstrate clear critical thinking skills
Exhibits strong presentation skills
Substantial travel associated with this position, which can reach up to 70%

117

Senior Manager, Customer Data Science Resume Examples & Samples

Provide broad technical leadership and develop the team’s data science culture as well as cutting edge analytic capabilities
Guide marketing strategies and tactics through the sophisticated analysis of consumer behaviors, loyalty programs, marketing insights, and omnichannel activity
Serve as a passionate analytics team advocate and marketing partner to help advance solutions that drive traffic, loyalty, conversion, and retention
Identify and champion new analytic opportunities and approaches to support sustainable market growth and sales
Foster and evangelize a focused and pragmatic approach to using advanced analytics and new technologies to drive productivity, sales and a superior customer experience
Guide, grow, coach, and support team. Establish clear objectives to achieve success across each team member. Recognize, encourage, and develop talent
Collaborate with other data science leaders across the organization to share and bring best practices and benefits to Macy’s
Assess appropriate vendor relationships related to analytical tools, technology, and data acquisition; support ‘proof-of-concepts’ that drive business success and sustained analytic growth
Support the development of appropriate roadmaps, strategies, and budgetary plans which advocate a progressive vision for advanced analytics solutions, data and processes
Foster strong peer and Senior/Executive-level communication
Graduate degree in Computer Science, Applied Statistics, Operations Research or other Quantitative field required
Minimum 2 years of people management experience in an advanced analytics leadership role with a focus on leveraging data, advanced analytic methodologies, and appropriate statistical tools to deliver actionable insights and drive business results
Marketing analytic experience within a omnichannel retail environment preferred
Ability to present complex concepts and share insights across diverse audiences and disparate business functions
Solid knowledge of advanced analytic and statistical methodologies, preferably in a marketing environment
Intermediate to advanced experience using common analytic tools (SAS, SPSS, R, Python, SQL, etc.)
Practical experience applying advanced analytics to large data sets; experience working within a ‘Big Data’ environment preferred
Proven leadership skills with a track record of successful cross-organization collaboration
Ability to persuade, influence, and execute innovative methods and processes within a dynamic organization

118

VP of Data Science Resume Examples & Samples

Create Data Science Vision and roadmap for Bankrate.com based on a thorough understanding of our strategy, consumer and advertiser needs, market trends and the competitive landscape
Collaborate with Bankrate.com leadership to define and prioritize the development of data-centric features and products
Engage deeply with Data Engineering, Product Development, Sales and Marketing teams on various initiatives
Communicate strategy and recommendations effectively to diverse audience including executive management, internal and external business partners
Provide technical oversight and mentorship to direct report

119

Data Science Platform Engineer, Senior Resume Examples & Samples

Experience with Hadoop development and architecture, including HDFS, MapReduce, and YARN
Knowledge of PKI architecture
Knowledge of multi-tier application architecture
Knowledge of concurrency and parallel processing algorithms and data structures
Knowledge of REST best practices
BA or BS degree and 6+ years of experience with software engineering or MA or MS degree and 4 years of experience with software engineering
Experience with Docker, Kubernetes, or RedHat OpenShift
Experience with DevOps automation tools, including Chef, Puppet, or Ansible
Experience in developing solutions with Amazon Web Services (AWS)
Experience with Java open source tools and libraries, including Maven, Spring, and JUnit
Experience with machine learning or natural language processing tools, including MLlib, TensorFlow, Mahout, Weka, or Stanford NLP toolkit
Knowledge of microservice architecture and design patterns
Security+ or CISSP Certification

120

Data Science Product Manager Resume Examples & Samples

You will be growth minded and understand the speed of decision making required in a rapidly scaling business
You will be commercially and technically minded - able to understand concepts and explain limitations between marketers and engineers!
You will need to understand modern marketing technology, think analytically about user behaviour and be able to conceptualise ideas that allow us to become best in breed in terms of using deep learning models
You will have a passion for taking on many projects at once, balancing the swift release process with the need for attention to detail

121

Data Science & Analytics Engineer Resume Examples & Samples

Define, develop and test analytics as well as
BS degree plus 6
Demonstrated
Capable of
Demonstrated ability in
Knowledge/Experience on aircraft engines performance

122

Post Doctorate Ra-data Science Resume Examples & Samples

Be familiar with existing deep learning libraries (e.g., TensorFlow, Keras, Theano, Caffe, Torch, and CNTK)
Have experience applying deep learning to domain specific applications, such as video analysis, behavioral modeling, social computing, time series prediction, computer vision, etc
Have the ability to contribute that knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery
Effective written and oral communication is required
Strong interpersonal skills and the ability to collaborate effectively on diverse teams are required
Record of research accomplishments required, preferably peer-reviewed publications
Proven ability to work independently and to quickly adapt to new scientific environments

123

Marketing Data Science Leader Resume Examples & Samples

Supervises a team that leverages data to address key growth challenges, such as predictive LTV, cross-channel spend allocation, and marketing program attribution
Has deep experience and advanced capabilities with a variety of tools to access, analyze, and visualize data
Leads the development and enforcement of the analytic quality control process
Monitors the integrity, accuracy, and utility of all analysis generated by the Marketing Data Science Team
Analyzes trends and patterns in customer behavior related to purchasing habits (RFM, product categories, channel usage, etc.)
Supports implementation of an enterprise-wide standardized approach for data validation, statistical test design and analysis
Identifies new data sources to be considered for EDW integration and articulates the resulting benefit to the business
Oversees and supervises the responsibilities of the Data Scientists and Data Science Analysts
Develops new strategies, processes and approaches to improve the performance of customer targeting models
Integrates customer analysis with circulation, merchandise, and e-commerce analysis
Acts as a consultant to internal clients, recommending further projects based on analytic learning
Maintains project calendar to ensure timely deliverables
Summarizes analysis findings in concise, well-reasoned, and actionable reports
Presents results of analysis projects to key stakeholders
Trains staff members in statistical and analytic techniques
Maintains regular and predictable attendance
Abides by all policies and procedures of Oriental Trading Company
Must be able to attend face to face meetings on short or little advance notice
Work in the Marketing Department office environment requires in-person collaboration among colleagues and contractors

124

Data Science Lead, People Analytics Resume Examples & Samples

MS/PhD in a quantitative discipline: Statistics, Applied Mathematics, Computer Science, Machine Learning, Engineering, Behavioral Economics, Biostatistics, etc
5+ years experience deriving insights from large amounts of real, sparse heterogeneous data with Python, R, or other statistical packages
Experience in people analytics or I/O psychology topics strongly preferred
Experience in applying machine learning techniques to solve real-world problems
Able to translate business objectives into actionable analyses and communicate findings clearly to both technical and non-technical audiences
Research mindset - ability to structure a project from idea to experimentation to implementation
Bias towards learning – always looking to find innovative solutions to problems that stretch your own abilities, but also willing to take the time to upskill those around you

125

Technical Sourcer, Data Science Resume Examples & Samples

4+ years sourcing experience with a search firm or in-house recruiting team
Experience working with and building sourcing strategies with hiring managers
Research/sourcing skills with ability to dive into search strategies
Experience approaching candidates
Experience working in a team-based environment

126

Data Science Developer Resume Examples & Samples

Extensive experience with dynamic scripting languages such as Python and R
Strong familiarity with data science concepts and modeling techniques
Experience implementing design patterns and implementing testing frameworks

127

Data Science Associate Resume Examples & Samples

Significant leadership experience in college extra-curricular activities or previous employment
Experience preferred in one stat language (R, Python, Stata, SAS) as well as with survey or Statistical Research
Passion and desire for leadership opportunities and development
Drive to innovate and encourage others to innovate
Interest in project management assignments
Business/Finance/Sales minors are a large plus
Initiative, creativity, and a passion to deliver results that affect our clients
Preferred experience or coursework in financials, stats, foreign languages
Enthusiasm for streamlining processes
Disposition to learn from new cultures

128

Data Science Associate Resume Examples & Samples

Intellectual curiosity and intense passion for taking on critical challenges
Hand’s-on experience with new technologies, data science approaches, or advance computing in academic, work, and/or extracurricular forums (e.g., hack-a-thons, personal side projects, etc.)
Ability to work both independently and as part of a global, virtual team

129

Executive, Data Science Resume Examples & Samples

Serves as the global and regional SME for best practices and business as usual (BAU) sampling and universe estimation methodologies for the Design Center
Be the SME for harmonized methodologies and practices
Interact with Nielsen SMEs on new methodology implementation and be the design and analysis partner on innovation projects
Ensures self-sustenance on Knowledge Management and train associates in the Design Center
As needed, executes and enables execution of universe estimation and sample design methodologies for the sub-region/multiple countries and ensure delivery on time and per spec
Delivers all analyses to support implementation standards and best practices
First level of approval of all country specific playbooks and best practices of UE and SD work executed in the Design Center
E- 1 to 5 yrs of work experience in the survey research industry with expertise on experience in developing and executing survey research methodologies
E- Domain expert in at least one area: Demography, Sampling, Statistics Modeling, Survey Design Practices
E- Bachelors degree in Statistics, Operations Research, or Econometrics with outstanding analytical expertise and strong technical leadership
E - Experience in survey design related to sample representation or bias reduction, multivariate statistics (parametric/ non-parametric)
E- Proficient in SAS, SPSS, R, Stata or other statistical packages
P- Knowledge in SQL, working with Algorithms, and large-scale databases
P- Experience in some or all of statistical modeling, variance estimation, trend analyses, indirect estimation, data aggregation techniques, automation, generalization
P- Demonstrates experience in survey research methodologies, data collection, platforms, research processes and operations

130

Senior Executive, Data Science Resume Examples & Samples

Prepare communications of study results for broad distribution to clients and internal teams through written and video media
Develop and maintain performance dashboards and web-based reporting tools
Engage with senior level colleagues to ensure the development and successful implementation of plans to address performance opportunities
Execute and deliver global analyses and related insights for clients and internal teams
Proactively identify potential risks to the data quality of analyses, assist in required investigations to ensure prompt and accurate resolution of potential issues
Recommend improvements in processes within area of responsibility
2 to 5 years of relevant experience in similar domain
Strong analytical and technical capabilities and aptitude
Statistical training/education
Proficient in Excel
SQL / relational database experience
Intermediate / Advanced R or SAS skills
Intermediate / Advanced Python programming skills
TIBCO/Spotfire admin (added advantage)
Highly detail oriented, strong commitment to timely execution of tasks
Ability to work in a virtual environment
Key Skills

131

Associate, Data Science & Market Intelligence Resume Examples & Samples

Mine structured and unstructured data sources including– but not limited to – syndicated research, sales data and proprietary databases to develop actionable intelligence
Develop statistical models and forecasts to understand market trends and make predictions
Support business development

132

Data Science Professional Resume Examples & Samples

Create PC based data analytics solution applications, tools, and functionality using data and related technologies that meet customer requirements and adhere to relevant standards and principles, leverage common tools and processes, and meet cost/delivery objectives
Produce accurate analyses and/or hypotheses testing by applying algorithms to large structured as well as unstructured data sets. Develop visualization products to share analysis across a large group of business users
Perform reviews with key stakeholders throughout the design lifecycle to ensure alignment on solution designs and requirements. This may include but is not limited to the following activities: design reviews, testing execution, deployment verifications, customer satisfaction reviews, etc
Create supporting solution design documentation to ensure sustainment of the solution and business capability, support solution implementation as necessary
Work closely with the Go To Market (GTM) Organization (Sales, Technical, Marketing) as well as key customers on data analysis support requests
Continuously seeking out industry best practice and skills development to create new capabilities for data analytics at Cargill to better support development of customer focused decision making offering
Bachelor’s Degree in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, or related fields
Experience with designing, development, and implementation of data analytics, tools, and solutions
Experience preparing reports, in the form of visualizations such as graphs, charts and dashboards, detailing the significant results they deduced. Experience creating dashboards
Ability to synthesize data into clear, actionable plans
Strong background in mathematics
Proven partner who has worked closely with cross-functional teams
Superior level of mastery with MS Office Excel and or Access with VBA programming capability
Ability to learn key drivers of success; business acumen
Strong knowledge of databases and/or data models or Statistics (Regression, Clustering, Decision trees), or Simulation and Optimization engines, scenario analysis, etc
Must be self-motivated and driven
Willingness to participate in a global development environment
Ability to travel up to 20% (U.S. Iowa, Ohio, Minnesota)
Masters degree in Data Science, Computer Science, or related field
Experience in agriculture or commodity businesses
Experience in PC data acquisition and control
5 years' experience in Data Analyst or Data Science type role
Located in Brookville

133

Data Science Technical Sourcer Resume Examples & Samples

Source and hire top data talent nationwide
Be knowledgeable about our business and why people should work here
Spread the UberLOVE through attending networking events, e-meetups, etc
Work closely with our US team to improve upon existing programs and develop innovative strategy around finding top talent
Keep ‘em warm! Manage the existing pipeline of candidates and identify what future opportunities they may be a fit for
2+ years of technical sourcing experience
Prior experience sourcing data scientists/data analysts preferred
Both in-house and agency experience is preferred (with available metrics to back up how great you are)
Degreed or equivalent work experience
Technical Savvy

134

Director, Machine Learning & Data Science Resume Examples & Samples

Lead a team of data scientists to design new data products and develop new big data capabilities
Provide thought leadership for research in machine learning and data science
Attract and recruit top talent in data science
Identify relevant technology and science trends and engage with external industrial or academic partners
Routinely use and further enhance advanced machine learning/AI and statistical learning methods
Leverage in-house, external and other open source machine learning software/algorithms
Collaborate with global modeling teams to drive usage and adoption of new data products and capabilities
Understand and leverage new data sources and integrate traditional structured data with unstructured data from web and social media
Proven work experience working in the area of machine learning and data science
Exceptional programming skills in Python, R, Scala, Spark. Additional knowledge of C/C++ and Java is preferred
Experience with distributed computing environments (including HPC and Hadoop) and cloud computing platforms (Amazon Web Services/AWS, Google Cloud, Microsoft Azure)
Strong people leadership and managerial skills
Effective communication skills and ability to explain complex data products in simple terms

135

Data Science Resume Examples & Samples

2+ years experience delivering, scaling, and owning highly successful and innovative data science products with your fingerprints all over them - you’re extremely proud of what you’ve accomplished
Demonstrable domain expertise in time series modeling and machine learning
Finger-tippiness with data: you just go get the data you need with no muss / fuss and can whip it into an insightful story with no help. You know how to leverage data to make decisions without getting stuck in paralysis by analysis
Hustle: you get things done fast by figuring out an appropriate solution

136

Senior Data Science Librarian Resume Examples & Samples

Able to develop & use exceptionally complex concepts & processes that span multiple organizations and disciplines
Performs multiple tasks at specialist level
Leads multiple Junior/Mid-level personnel
May be recognized as a SME
Evaluates & recommends new technology & processes based upon cost, risk, mission
Knowledge and experience with data management, transformation, visualization, analysis, and organization tools and techniques
Knowledge and experience with Search tools, Search results organization and the implications of metadata organization, indexing, catalog content
Overall Data Wrangler – ability to demonstrate organized structure for data when there appears to be none due to differences in data types and sources
Interdisciplinary bridge builder who understands the Internet, databases, analytics, visualization, and data curation
Ability to categorize the data and metadata in order to build the metadata application profile
Knowledge of metadata standards
Knowledge and/or Experience in GIS-related applications
Minimum of ten years experience in the application of GIS/GPS technology. Knowledge of geography, concepts of spatial analysis, computer programming, land management, map design,

137

Mid Data Science Librarian Resume Examples & Samples

Able to develop & use more complex concepts & processes
Conduct root cause problem analysis
Guide & support Junior level personnel
Prepares and presents very complex technical research. Recommends and implements changes in procedures when necessary. May develop department policies, guidelines, and procedures
Has strong knowledge and understanding of global positioning systems (GPS). Plans, designs, and develops very complex documents, and analyzes spatial and relational databases
Operate computer workstations, digitizers, printers, and plotters. Ability to create user applications and interfaces using the most complex programming languages
Analyze image data using advanced technical image processing software. Prepares and presents very complex technical research

138

Data Science PhD Internship / Co-op-summer Resume Examples & Samples

Candidate must be pursuing a PhD degree equivalent in computer science or a quantitative domain plus hands-on software engineering and data science experience. Technical understanding must go from the highest abstractions down to the metal
Demonstrable proficiency in producing production level code (Python, Java preferred) and programming concepts, combined with the enthusiasm and passion to build
Grittiness. You never hesitate to roll up your sleeves and tackle something hands-on, you persevere when others fall away
Customer obsession: you are always ready to add that additional feature to make your users happy

139

Manager Business Intelligence, Data Science Resume Examples & Samples

Lead the business intelligence team in creating risk models, dashboards and analytics across the organization. Present the components of risks, including recommended resolutions
Manage relationships with business partners to monitor emerging risks and allow easy access to required data
Obtain, load, transform and profile data to meet the needs of analysis, models, and visualizations
Mentor analysts and consultants to ensure growth and development of data science skillset

140

Associate Director, Discovery Data Science Resume Examples & Samples

Design and conduct or coordinate genetic association analyses (binary, quantitative, longitudinal traits, etc.) to inform target and biomarker identification and validation
Design and conduct or coordinate other 'omics-scale analyses, including epigenetics, transcriptomics, metabolomics, and/or proteomics data
Identify and access promising externally available datasets
Support and coordinate genetics and other human biology collaborations with external partners
Visualize and present results internally to project teams and other site members
Occasionally present results externally through publications or oral presentations
Employ reproducible research best practices to organize and document data, methods, and results
Ph.D. degree with at least three years of experience in Statistical Genetics, Genetic Epidemiology, Human Genetics, Statistics, or closely related field. Industry experience preferred
Must have analytic and statistical skills to conduct analysis of epigenetic, transcriptomic, and proteomic data
Must have a good understanding of human biology. Experience in neurology (dementia), immunology, and/or oncology is highly preferred
Must demonstrate good understanding of drug discovery requirements and processes
Must have strong organizational skills, ability to prioritize and delegate work and a high level of proficiency in both project and people management
Must have experience with R and Unix/Linux systems. Additional experience with languages/software including Spotfire, Bioconductor, Pipeline Pilot, and SQL is preferred. Ability to use Excel and Python may also be useful

141

Product Owner, Data Science Resume Examples & Samples

Lead cross-functional projects to develop and implement new machine learning driven applications and process improvements
Scope multiple data science projects and set timelines for deliverables
Work closely with Business Owners to understand business objectives in order to scope projects appropriately
Onboarding, evangelizing, and training for teams to use deployed applications
Aligning stakeholders across Salesforce to pave the way for application deployment

142

Director of Data Science Resume Examples & Samples

Lead an existing team of three analysts and data science professionals. Build out this team as determined by business needs and growth opportunities
Work closely with key stakeholders across the department to identify and drive opportunities for new and innovative projects to support the business and to streamline our own operations through actionable insights, cutting edge analytics and data science
Develop and advance client's decision support tools
Employ structured approach to leveraging large data sets to uncover new business insights
Understand pain points experienced by our clients, and partner with product and engineering teams to define and build innovative and profitable new products to address those needs
Build and maintain an up-to-date inventory of enterprise-wide data sources, ensure our systems are built on quality data of known provenance, and measure and manage statistical quality to the highest standards
Drive acquisition of new data sources as needed with governance on license, terms of use, compliance, quality, and high availability
Grow and manage a world-class platform and team for rapid product research, development, deployment and improvement
Represent our capabilities and product offerings to internal and external leadership audiences, both technical and non-technical
Expert-level experience in data science and visualization toolkits (R, SAS, Python and/or PowerBI)
Demonstrable statistical, mathematical, and business strategy skills
Experience with business intelligence, data warehousing, and ETL database technologies/solutions
Experience in legal applications of advanced analytics an advantage
Expertise in building, managing and maintaining cloud based big data solutions using available services such as Machine Learning, Database technologies, and Data Orchestration techniques and services
Experience maintaining a highly available, performant, services infrastructure for development and innovation
Multiple products delivered built on operationalized insights and analytics
Experience framing and participating in data-driven business decisions, including measuring and evaluating outcomes
Experienced people manager with the ability to develop talent, build and support a positive and diverse team culture
Proven experience being an agent of change in a large organizational setting, driving support for new ways of working
Excellent oral and written communication skills. The ability to “translate” data science to non-technical people at all levels across the department, as needed
Experience working across all levels of an organization
Team player with proven ability to build trusted relationships
Ability to impact and influence stakeholders with a high degree of autonomy, energy, flexibility and the drive to create real and measurable business results
Demonstrated ability to work efficiently, prioritize workflow, and meet demanding deadlines
The ability to effectively partner internally and externally, and function in a highly-matrixed environment, to drive highly-scaled impact
A working knowledge of Microsoft products
10+ years developing reporting and BI solutions (machine learning techniques preferred)
Bachelors degree in Statistics/Computer Science/Software Engineering (Masters preferred)

143

Intern, Data Science Resume Examples & Samples

Be part of a dynamic, highly-focused team that is responsible for providing machine-learning insights and SW products that engage Ticketmaster’s 170+MM users
Build the systems that stream and analyze the ever-evolving 40+ years' Ticketmaster data
Be frequently tasked with analyzing data to tell a story
Developing SW to prototype new algorithms for user identification and segmentation, performance optimization and user response prediction as part of a massively parallel and distributed near-real time predictive learning system
Pursuing a graduate degree in Data Science, Computer Science, Math, or related field
Industry experience, or equivalent and pertinent course work
Experience applying machine learning solutions (SVM, Clustering, Contextual Bandit, Deep Learning, etc.) to real-world problems is a plus
Experience/Knowledge with/of machine learning libraries (Vowpal Wabbit, TensorFlow, scikit-learn or similar) is a plus
Experience with/knowledge of frameworks like Hadoop, Storm, HBase, Spark is a plus
Experience with the AWS ecosystem is a plus

144

Data Science Platform Engineer Resume Examples & Samples

3+ years of experience with software engineering
Experience with SQL development and Hadoop development and architecture, including HDFS, MapReduce, and YARN
Experience with Apache Spark or Storm
Knowledge of modern enterprise platform architectures and technology stack, including Big Data storage and processing solutions
AWS Certification, including Certified Solutions Architect, Certified Developer, Certified SysOps Administrator, or Certified DevOps Engineer

145

VP of Data Science Resume Examples & Samples

Leading through influence and effectively championing the adoption of sophisticated analytic decision making processes throughout Allstate to meaningfully and demonstrably improve business results
Conceiving, developing, implementing, and continually improving upon closed-loop models that integrate decision making across AORs and functions in support of Allstate strategies
Lead the connection of business strategies with the capabilities available as Allstate becomes an Integrated Digital Enterprise – helping business leaders understand and capitalize on the capabilities available to produce business outcomes
Continually evaluating new analytic and big data techniques and technology for application and competitive advantage within the enterprise by staying current on new technology, analytics, and emerging trends in this and other industries
Partnering with Allstate Technology Organization to design technology systems that facilitates faster, easier, and cheaper adoption of analytic solutions in the marketplace
Influence the development of additional capabilities to deliver business outcomes through the use of data and analytics within the analytic ecosystem Allstate is creating
Mentoring and teaching technical and analytical skills within the department and across the organization
Developing ad hoc studies that evaluate the economic impact of new strategies and operational decisions
Aggressively acquiring and training new talent, maintaining a friendly and collaborative work environment, and developing future managers and leaders
Maximizing professional development, personal contribution, and performance of employees
Acting as an analytical consultant for partners across the enterprise
An extensive track record that demonstrates effectiveness in driving business results through advanced analytics
The ability to develop and articulate a compelling vision and generate necessary consensus for analytic decision making
A proven ability to influence decision making across large organizations
A proven ability to hire, develop, and effectively lead deeply technical resources
Extensive statistical and insurance domain knowledge
An advanced knowledge about business in general and seasoned, in-depth, multi-dimensional knowledge of industry and company economics
Ability to synthesize, analyze, interpret, and communicate complex concepts
Ability to measure, evaluate, and act on results (financial and operational)
Ability to develop and implement a broad array of analytic solutions to a broad array of problems
Ability to manage/lead a large group of employees
High level organizational and project management skills in order to handle multiple concurrent assignments in a timely manner
Proven track record of sound, effective decision making

146

Data Science / Mining Resume Examples & Samples

Masters or PhD student desired
The ideal candidate has previous data science internship experience
Skills: Machine Learning, Data Mining, any focus on time series analysis/analytics, ETL (Extract, Transform, Load), and DB is a plus
Must be fluent: Python, SQL, MYSQL, Hadoop/Hive/Pig, C, and C++
Familiar with R, Linux/Unix, AWS, S3, Weka, and Excel (including PivotTables)

147

Post Doc Biostatistic / Data Science Resume Examples & Samples

Study design: use of adaptive and other design options in clinical studies
New marker combinations: develop and/or apply new multivariate statistical methods for the detection of new marker combinations for the diagnosis of diseases
Statistical analysis: investigation of methodological alternatives and their implications as well as the adaptation of methods to specific clinical situations
Big data: identification and statistical modelling of systematic effects in complex observational data
Signal analysis: Optimizing the generation of measurement results

148

Information Security Data Science Professional Resume Examples & Samples

Bachelor's degree or equivalent work experience
At least 7 year’s experience with processes, tools, techniques and practices surrounding information security
Extensive experience with tools such as MS Excel and MS PowerPoint
Excellent written and verbal communication skills. Must be able to clearly articulate technical concepts in laymen’s terms
Basic data visualizations (e.g., line and bar charts)
Ability to coordinate across diverse groups of teams
Data analysis, including ability to define metrics
A basic understanding of statistical concepts such as p-value, statistical tests, distributions, maximum likelihood estimators, etc
Basic multivariable calculus and linear algebra or ability to quickly learn and knowledge of when to apply concepts
Building scorecards and dashboards, and defining, observing and analyzing data trends
Programming languages, particularly SQL scripting language for data extraction and analysis
An understanding of the bank's landscape (business lines, tools)

149

Data Science Advisor, Model Development Resume Examples & Samples

Support the implementation of scorecards from production through UAT and deployment
Conduct periodic training, research and development of new models, methodologies and scorecard/model business usage
Graduate degree in risk related field (Quant Finance, Mathematics, Statistics)
1-3 years’ experience of scorecard model development or validation in a banking or financial services environment
SAS or SQL programming knowledge an advantage
Experience with statistical modelling and analytic techniques
Familiarity with Basel Initiative, regulatory matters and stress testing
IFRS9 model knowledge a plus

150

Intern, Data Science Resume Examples & Samples

Pursuing an undergraduate degree in Data Science, Computer Science, Math, or related field
SQL, Java, and Javascript experience
Industry experience via other internships preferred
Database work preferred

151

Data Science Resume Examples & Samples

Minimum 1 year practical data science or engineering work experience out of school, in the aforementioned domains'
Strong quantitative background: MS or PhD preferred
Familiarity with technical tools for analysis - Python (with Pandas, etc.), R, SQL
Programming chops - demonstrable familiarity (work experience, Github account) with programming concepts. Python skills and previous software engineering background a plus
Research mindset - ability to structure a project from idea to experimentation to prototype to implementation
Driven and focused self-starters, great communicators, amazing follow-through - you passionately pursue your work and love the responsibility of being individually empowered

152

Data Science Engineering Manager Resume Examples & Samples

Manage all aspects of data set creation and curation including the frameworks to derive metrics from Hadoop and Oracle EDW systems
Own all team automation to deliver metrics for reporting and visualization, and datasets for statistical/predictive models
Single point-of-contact for team interface with system owners (IT, Core Infrastructure teams, etc.)
Own the solution design and lead the technical development of data acquisition and integration projects, both batch and real time. Define the overall solution architecture needed to implement a layered data stack that ensures a high level of data quality
Provide work estimates for new projects. Communicate directly with product owners and clients to clarify requirements. Craft technical solutions and assemble design artifacts (functional design documents, data flow diagrams, data models, etc.)
Should be well versed in capacity planning process of building very large scale distributed hardware and software platforms with proven hands on experience
Serve the team as a subject matter expert for Hadoop, ETL design, and other related database and programming technologies
Champion the use of version control and other development tools to manage the delivery process
Oversee production-level technical support for specific subject areas as required

153

Senior Director of Data Science Resume Examples & Samples

Defines, recommends, and implements algorithms, software technologies and software components that will achieve a high level of innovation, competitive advantage and customer satisfaction
Continuously develops the technological or scientific expertise required to design innovative and competitive software by
In - depth professional knowledge of software development, system / product design, and integration; typically acquired via significant professional experience. Applies this knowledge to solve complex software engineering problems within the business unit
Significant active and current scientific / technological knowledge and curriculum (PhD or research positions, publications and qualified academic contributions)
Has recognition by peers of the scientific contributions he / she can bring to OPTUM technologies
Analytical ability, creativity and judgment in analyzing, developing and implementing algorithmic, technical and software solutions to complex requirements
A scientific mindset to move from the problem to the idea, and an engineering mindset to move from the idea to the software artifact
Ability to work in flexible office conditions; may be exposed to demands of travel, and / or irregular work hours
Scientific / Academic activity requires attendance at one to two technical conferences (as a speaker, panelist or workshop coordinator)
10+ years of leadership experience (including leading and mentoring technical team members, and budget responsibility)
5+ years of service development (REST, API, Microservices)
5+ years of experience with the fundamentals and practical application of Machine Learning & Al
3+ years of experience with one or more of the following Machine Learning and Cognitive technologies: IBM Watson, SAS, Amazon ML, Google Cloud ML, Azure ML Studio
Thorough understanding of core Machine Learning methodologies: Regression, Classification, Clustering, Matrix Factorization, Predictive Analytics, Natural Language processing, Decision trees, Support Vector Machines, Neural Networks / Deep Learning
3+ years of experience creating prototypes in R, Python, Scala, Java or similar stack
3+ years of experience with retrieval and manipulation processes utilizing: SQL, Hive QL, Python, Hadoop, R, Unstructured Data
Advanced degree in computer science or related field
PhD
Ability to work effectively in a cross - functional team
Demonstrated initiative and strong ownership of deliverables
Healthcare experience
Strong software design and architecture skills with an eye toward avoiding and reducing technical debt
Experience in multiple collaborations with research, implementing assets into solutions
Regular presenter at conferences and / or guest lecturer
Experience conducting professional negotiations

154

Data Science & Operations Research Senior Specialist Resume Examples & Samples

Execute advanced business analytics project deliverables (model development)
Collaborate with project team members from various internal functions and BASF business units to successfully add value across BASF
Disseminate the benefits of advanced business analytics within BASF (e.g. organization of events) and identify opportunities for the company (initiate new projects)
Document and Track project and team deliverables and produce reports

155

Senior Software Development & Data Science Technology Manager Resume Examples & Samples

Be responsible for the overall systems development life cycle of a key product sub-system
Manage and execute against project plans and delivery commitments
Manage the day-to-day activities of the engineering team within an Agile/Scrum environment
Manage departmental resources, staffing, mentoring, and enhancing and maintaining a best-of-class engineering team
Work closely with the engineers to architect and develop the best technical design and approach
Report on status of development, quality, operations, and system performance to management
Bachelor’s degree in Computer Science, Computer Engineering or related technical discipline
7+ years of experience building successful production software systems and applications
Strong knowledge of Object Oriented Programming with languages such as; Java, Ruby, C#, C/C++, Python
3+ years experience leading Software development teams
Excellent technical communication with peers and non-technical cohorts
Proven track record of project delivery for large, cross-functional projects
Expert knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Established expertise in developer tools or software development lifecycle (SDLC) systems (continuous integration, version control, source code repositories, build systems, package management, deployment tools, test frameworks, etc.)
Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions
Passion and convictions and the innate ability to inspire passion in others, and the ability to establish and sell the business and technical vision for a complicated problem area

156

Data Science Project Manager Resume Examples & Samples

Strong project management skills in agile settings for technology projects
Experience working on real-world problems and passion for making a social impact
Expertise in Microsoft Excel for project tracking, budgeting and resource management
Experience with online project management tools (Trello, Github for example)
Ability and experience managing multiple projects at the same time
Strong Written and verbal communication
Proficient with Excel (best friends with vlookup and undocumented one-line formulas), Word, Google docs, and generally technically savvy

157

Advanced Data Science Leader Resume Examples & Samples

Manage a team of up to 60 information analysts while providing direct mentoring and development
8 to 10 years of professional experience utilizing quantitative analytics
Experience using statistical packages and techniques with demonstrated application, particularly with more advanced and emerging technologies like including but not limited to machine learning, regression and/or Python/R
Experience providing solutions to loosely defined business problems leveraging pattern detection over potentially large datasets
Experience with strategic insight through newly developed or unique analytical applications to solve complex, unusual, and critical internal/external customer problems
Ability to work cross-functionally with a wide range of engineers and project team members having diverse skill sets
Experience managing complex analytics databases and deploying simplified summaries and conclusions from the data
Experience with producing and maintaining detailed data and analytics presentations, business proposals, and internal- and external- facing presentations

158

Data Science & Security Resume Examples & Samples

Drive innovation of new features and performance improvements
Design and development associated with software using a range of applicable technologies (e.g., machine learning, predictive analytics, big data technologies, programming languages, compilers, assemblers, debuggers, other tools) for products used in local, networked or Internet-related computer programs
Participate in product development in all stages including planning, design, development, testing, implementation and post deployment support
Manage software built and implemented as a product, using best-in-class development process/lifecycle management
Work with the team to develop, maintain, and communicate current development schedules, timelines and development status
Review requirements, specifications and designs to assure product quality
Develop and implements plans and tests for product quality, scalability, performance assurance

159

Data Science & Marketing Analyst Resume Examples & Samples

Lead a team of digital marketing analysts responsible for the integrity of digital marketing reporting
Identify best-performing customer segments and develop precise targeting methods within search marketing
Develop and maintain reporting dashboards to support decision-making among digital marketing analysts and the Technical Solutions team
Stay current on industry tools, techniques and competitor marketing strategies
Manage delivery of scheduled and ad hoc reports, noting business trends in new customer counts, order / sales impact of marketing triggers and promoted product performance
Analyze results and develop performance improvement opportunities

160

Data Science Senior Manager Resume Examples & Samples

Optimize marketing processes and integrate across the enterprise in order to maximize the opportunities of data, analytics and marketing outcomes
We build, deploy, maintain and scale marketing solutions that reduce complexity and cost
Client-facing interaction including providing analyses, recommendations, presentations and advice to clients
Adapts existing methods and procedures to create possible alternative solutions to moderately complex problems
Primary upward interaction is with direct supervisor. May interact with peers and/or management levels at a client and/or within Accenture
Minimum of 7 years of increasing experience in management consulting or industry
Minimum of 7 years delivery experience in advanced modeling environment: strong understanding of statistical concepts and predictive modeling. (e.g., AI neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning, etc.)
Minimum of 7 years expertise with the Microsoft suite (including advanced Excel skills with embedded Pivot Tables & Macros; advanced PowerPoint usage)
At least 5 years experience with predictive analytics tools which may include at least two applications from R, SAS, SPSS, MATLAB, MicroStrategy, and Tableau
Experience with analytic projects in the following areas: Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations, Digital, Marketing Intelligence & Competitive Analysis
Enthusiasm in supporting peers in designing and authoring proposals and RFPs
Demonstrated teamwork and collaboration in a professional setting; either military or civilian
Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical business people

161

Data Science Pharma Manager Resume Examples & Samples

Excellent understanding of Pharma data sets – commercial , clinical, EMR ( Electronic medical records)
Deliver data and BI/analytics driven engagements
Leverage ones hands on experience of working across one or more of these areas such as real world evidence data , R&D clinical data , digital marketing data
Minimum of 6 years of experience working with life sciences data sets (R&D, Commercial, real world)
Minimum of 4 years of experience working on advance analytics projects involving statistical models like logistic regression, Cox proportional hazard model, etc
Minimum of 4 years of experience in using advanced analytics tools such as SAS/R
Minimum of 4 years of experience in using data visualization tool such as Tableau, Spotfire, or Qlikview

162

Data Science COE Consultant Resume Examples & Samples

Working through the phases of project
Define data requirements for creating a model and understand the business problem
Clean, aggregate, analyze, interpret data and carry out quality analysis of it
Set up data for modelling (application of statistical methods & machine learning)
Development of statistical & machine learning models
Working along with the team and consultants/manager
Looking for insight and translate these insights into actionable outputs
Visualise the analytics outputs in an appealing & simple manner via dashboards, presentations etc
Supporting development and maintenance of proprietary customer analytics capabilities
1-2 years of work experience in consulting/analytics with reputed organization is desirable
Have an understanding of econometric/statistical and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as SAS, R
Desirable hands on experience in using machine learning algorithms for insight generation
Proficient in Excel, MS word, Powerpoint, etc
Tableau, Qlik experience is a plus
Master degree in Statistics/Econometrics/ Computer Science from reputed institute (required)
M.Phil/Ph.D in statistics/econometrics/Computer Science or related field (preferred)

163

Data Science Specialist Resume Examples & Samples

Minimum 1 of year statistical and other tools/languages (SAS, C, C++, Java, Python)
Minimum 1 of year of programming experience (C, C++, Java, SAS, Python)
Proven background in at least one of the following – Supervised and Unsupervised Learning, Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Multivariate Statistics, Reliability Models, Markov Models, Stochastic models, Bayesian Models
Experience in various statistical and machine learning models, data mining, unstructured data analytics in corporate or academic research environments

164

Data Science Practitioner Resume Examples & Samples

Ability to meet travel requirements, when applicable
3 years of experience
MBA qualification useful or equivalent
[Consideration will be given to candidates who hold equivalent qualifications]
[This job could be performed on a [job-share] or [part-time basis]]
Good financial acumen and financial analysis and diagnosis skills
Excellent leadership, communication (written and oral) and interpersonal skill

165

Consultant Data Science Resume Examples & Samples

Advanced / Fluent English
Availability of Travel
Education: Economists, Statisticians, Econometricians, Mathematical and Computer Engineering
Knowledge in Statistical Software (Stata or SPSS or Matlab or Eview or R or Python). With previous experience in analytics projects using statistical / econometric or machine learning methods

166

Data Science Consultants Resume Examples & Samples

Analyzing data and presenting results to key stakeholders
Building end to end analytics solutions for our clients
Designing and implementing data flows
Building or improving analytical models
Working in collaboration with Accenture’s global network of experts and delivery centers
Some relevant work experience on analytics
Good problem solving skills
Strong written and verbal commination skills in English
A degree in computer science, mathematics, physics, statistics or other similar quantitative field
You are passionate about analyzing data and ensuring the quality of data
Commercial background and understanding of business processes
Strong interest in growing your own technology skills
Experience on working with languages like MATLAB, R, SAS, Julia, etc
You are able to work with languages like Java, JavaScript, Python, Scala, etc
You have software development experience or understanding of key software development principles
Experience on pulling data from databases SQL/NoSQL and presenting your key findings from the data to business together with your insights
Good communication skills in Finnish

167

MBA Growth Analyst, Product Data Science Resume Examples & Samples

You will be partnered with one of our Sr. Growth Analysts to help support a Salesforce cloud business with their strategic business objectives, product direction, roadmaps, key metrics, and growth goals
Day-to-day, you will collaborate with other Growth Analysts to produce growth insights, identify opportunities for product improvements, and advise investment decisions. This will require acquiring, cleaning, structuring, and analyzing data from multiple sources (e.g. Hadoop, Splunk, Oracle)
You will deliver the results of your analyses in easily-consumable, actionable presentations to groups of stakeholders and executives

168

Data Science Specialist Resume Examples & Samples

Conduct data mining and large-scale data analysis to generate relevant business insights
Develop and apply analytical approaches, data mining, and machine learning methodologies
Design, develop, and implement proof-of-concepts and pre-product prototypes using off-the-shelf tools and programming languages
Prepare presentations and reports on findings
Outline and document methodological approaches
Provide support in the development of new solutions and the preparation of RFP responses
Establish scalable, efficient, automated processes for model development and validation
Develop metrics and prototypes that can be used to drive business decisions
Prepare projects action plans while designing timelines and risk mitigation plan
Consistently deliver high-quality service as well as support in business development and consulting clients
Seek and develop innovative methods and processes
Degree in Computer Science, Mathematics/Statistics, Physics, or similar analytic/data intensive subject area
Proven, deep experience in machine learning, natural language processing, predictive analytics, statistical modeling and/or operations research
Excellence in generating insights from various data sources using different software languages and data mining tools such as Python, R, KNIME, RapidMiner, SPSS Modeler, SAS
Aptitude in developing algorithms to solve analytical/statistical problems using R, Matlab, SciPy
Experience in designing, building and deploying data analysis and model management systems
Broad business experience with real data in customer, marketing and operations analytics (e.g. personalization, pricing, collaborative filtering, demand forecasting, supply networks)
Bonus: Exposure to Deep Learning, Bayesian Networks, or Cognitive Computing
Experience in data visualization and presentation (e.g. matplotlib/Shiny/Gephi/D3.js)
Data manipulation programming ability such as SQL and Perl. Ability to integrate multiple systems and data sets using a variety of techniques and tools. Able to link and mash up distinctive data sets to discover new insights
Innovative thinking and strong problem solving skills
Ability to work autonomously and prioritize multiple tasks
Fluent speaker in German and English, and flexibility to travel
Advantage would be experience with big data machine learning tools (e.g., Spark, MLbase, Mahout, Hama)

169

Academy Data Science Program Manager Resume Examples & Samples

Lead the execution of the Academy’s data science curriculumfrom beginning to end, lead internal and external activities, including the development and preparation of program materials
Coordinate recruiting effortswith members of the Academy’s Talent Development team
Execute, oversee and adviseon special projects
Ensure timely follow throughof The Academy’s agendas and assignments
Work on special projects and collaborate with our internal Market Intelligence team
Serve as a data science point of contactfor internal program participants and external vendors
Handle meeting coverage for the teamwhen needed
Be a seasoned, decisive and creative professional with promise to provide leadership within a complex entity
Be a consensus builder who promotes understanding, collaborations, and solutions
Possess solid business and financial acumen (specifically strong data science and business analytics), problem solving and analytical abilities, and strong communication skills (written and verbal)
Have a proven record of working in complex and dynamic environments, and who is able to consistently deliver outstanding results

170

Dir Data Science Resume Examples & Samples

Identify and Implement key cross-business initiatives via Data Science
Design strong analytic architecture, customized to business issue under investigation
Consults on abstracting from business issues to analytic agenda, and from analytic results to business insights & action-ability
Identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo-location information or social media
Works with IT teams to support data collection, integration, and retention requirements based on the input collected with the business
Solves client analytics problems and communicates results and methodologies
Works in iterative processes with the client and validates findings
Assesses, with the business, the expected qualification and assurance of the information in support of the use case
Defines the validity of the information, how long the information is meaningful, and what other information it is related to
Works with the data steward to ensure that the information used is in compliance with the regulatory and security policies in place
Identifies and analyzes patterns in the volume of data supporting the initiative, the type of data (e.g., images, text, clickstream or metering data) and the speed or sudden variations in data collection
Partners with the data stewards to define the data quality expectation in the context of the specific use case
Presents back results that contradict common belief, if needed
Communicates and works with business subject matter experts
Educates the organization both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results
Helps the organization understand the principles and the math behind the process to drive organizational buy-in

171

Public Sector Data Science & Analytics Developer Senior Associate Resume Examples & Samples

Evaluating enterprise DW architecture feasibility, risk and technologies related to business change (i.e. assessing, identifying and recommending BI and related business stakeholders' data requirements; BI solution prototyping and development; processes and performance from business and technical standpoints; and the impact of data changes on business and/or IT processes)
Advising CXO's on emerging BI/DW technologies and strategies consistent with clients' business strategies
Enterprise data management, data warehousing and/or business intelligence; data modeling, integration and/or synchronization, quality, security, conversion and analysis; database administration; and/or enterprise data management policies, procedures, compliance & risk management. This includes a minimum of having participated in two full life cycle implementations
Architecture, design and development of enterprise business intelligence and data warehousing solutions, including utilizing leading ETL/BI tools and the ability to architect a solution
Design and development of data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching that leverages knowledge within data, master data, metadata and technology management
Collaborating and contributing as a team member: understanding personal and team roles; contributing to a positive working environment by building solid relationships with team members; proactively seeking guidance, clarification and feedback
Identifying and addressing client needs: building solid relationships with clients; developing an awareness of Firm services; approaching client in an organized manner; delivering clear requests for information; demonstrating flexibility in prioritizing and completing tasks; communicating potential conflicts to a supervisor
Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance

172

Data Science Advisor Resume Examples & Samples

Assist in the development of new credit scoring models (application & behavioral) across 18 EMEA countries
Monitor and analyses scorecard performance, application profile, scorecard metrics and portfolio performance metrics
Data retrieval and manipulation, perform regular analysis and report generation, and maintain automated applications
1-3 years experience of scorecard model development or validation in a banking or financial services environment
Comprehensive knowledge of risk principles and procedures

173

Data Science Senior Manager, Model Validation Resume Examples & Samples

Lead the creation of a flexible analytic validation framework
Design and lead a portfolio of analytic validation projects
Champion the sharing and adoption of appropriate methodologies and best practices in an analytic environment
Cultivate cross-functional knowledge-sharing that drive analytic consistency and transparency across Allstate
Determine whether analytic solutions fulfill business requirements and propose alternatives when necessary
Communicate findings to senior leadership to ensure risks and variations are well understood; recommend appropriate mitigations when necessary
Review, evaluate, and make recommendations on appropriateness of techniques to senior leadership
Develop and execute a communication strategy that keeps all relevant stakeholders informed and provides an opportunity to influence the direction of the work
Maintain a friendly and collaborative work environment
Maximize personal professional development to ensure continuation of a personal contribution to the team and Allstate
8+ years progressive experience in data and analytically-focused roles
Extensive experience leading teams and cross-functional projects
Proven ability to manage teams overseeing machine learning/predictive modeling and optimization in statistical software
Proven knowledge of analytic techniques, ability to quickly learn and understand strengths and limitations of new algorithms
Ability to train, develop, and teach more junior modelers
Advanced general business knowledge and seasoned, in-depth, multi-dimensional knowledge of industry and company economics
Ability to develop and/or revise tactics to support changing business strategies and direction
Proven communication and influence skills taking varying audiences into consideration

174

VP, Data Science & Engineering Resume Examples & Samples

Lead the development and implementation of Big Data analytical capabilities for Fox studios that involve data from both internal and external sources
Execute large value projects across business units starting with consumer and Media Analytics to support data driven marketing
Champion a data-driven culture and drive long-term business value creation through development of best-in-class analytics capabilities
The ideal candidate should be willing to execute and be hands-on. Apply statistics, clustering, modeling, and machine learning algorithms to complex business problems
Work with the Business units to establish a data governance model associated with who uses data and how KPI's are defined
Provide direction on how data should fit together across the Customer Touch points
Establish a data and Analytics roadmap based on the business priorities working with all divisions
Architect and implement a leading edge Consumer analytics data platform to support the business needs
Strong ability to manage priorities across multiple stake holders
Lead and manage large scale projects in a highly matrixed organization
PhD in Statistics, Data Science or related quantitative degree with 8+ years of working experience in data analytics
Proven experience with machine learning and statistical analysis, programming and scripting capabilities
Experience writing SAS, R, or Python for data analytics
Experience writing SQL, Map R on Hadoop and data platforms like Netezza etc
Proficient in data warehousing, dimensional modeling, and data architecture
Experience in Marketing automation platforms like Salesforce Marketing cloud is a plus
Experience with Agile methodologies
Strong product knowledge in the digital marketing and Media
Experience in Entertainment or Media preferred
Highly skilled in Big Data and open source technologies

175

M HIS Data Science Applied Research Internship Resume Examples & Samples

Bachelor's degree or higher from an accredited institution
Masters Degree or higher from an accredited institution
Ph.D. in Computer Science, Electrical Engineering, Applied Math in Machine Learning

176

Dir Data Science Resume Examples & Samples

Develop predictive and prescriptive models using various techniques in support of operations initiatives
Validate, manipulate and perform exploratory data analysis tasks on analytical data sets
Work with cross-functional team members to identify and prioritize actionable, high impact insights across a variety of operational areas
Peer review and evaluate models built by Data Science staff
Bachelor's Degree or higher in Statistics, Applied Mathematics, Actuarial Science, Quantitative Economics or other similar analytical field
5+ years relevant experience in large scale operations environments (Call Centers, Manufacturing, Marketing, Underwriting, and Digital media)
Deep expertise in data/research and predictive modeling
Experience with data modeling, data warehousing tools, and data bases (e.g. SAS, ORACLE, Teradata, SQL Server, R, Python)
Ability to work independently or in a team environment with internal /external customers

177

Director of Data Science Resume Examples & Samples

Provide research and insights incorporating big data
Conduct analysis of proprietary data to improve investment outcomes and to enhance client interactions
Utilize alternative data sources to gain glean insights and gain competitive advantages
Harness big data technologies to efficiently ingest, store and analyze data
Collaborate with investment and client-facing teams to develop solutions to address research and business challenges
Share insights with groups across the firm
Lead, develop and mentor a team of data scientists
Master’s degree or PHD in Mathematics, Finance, Computer Science, Engineering or related fields
5+ years of experience working with large structured and unstructured datasets and be well-versed in big data technologies
Strong statistical, mathematical background
Proficiency in analysis (R, Matlab packages), programming languages (R, Python), and statistical modeling

178

Data Science Resume Examples & Samples

CS Background good as well
Strong Excel based Model Development
Build a network of fellow students on coop/internship assignments

179

Data Science Developer Resume Examples & Samples

Commercial experience of R or Python programming
Strong statistics knowledge
Basic Experience with Machine Learning applications
Experience working with a mainstream object oriented programming language (Java, C#, C++, Objective-C, etc…)
Experience working with SQL and databases (preferably with DB2, Sybase or Oracle)
Experience of working in a Linux environment
Excellent interpersonal skills and professional approach
Experience with Scala programming (or willingness to learn it)
Experience of the full software development life cycle
Experience of working in an agile team
Experience of working with version control systems
Experience with bash scripting
Experience of working with Continuous Integration systems
Experience with Big Data technologies (Hadoop, Spark, SparkML, Hive, Impala, etc…) is an advantage

180

Data Science Lead Resume Examples & Samples

Create and lead a central product and enterprise data science function to support the business in creating business-relevant insights from data sets of varying size. Evaluate resource needs/constraints to develop or acquire the software, systems, tools, and infrastructure
Develop and Implement methodologies and processes to improve data collection, trend identification, and reporting
Provide analytical support to various internal business partners and stakeholders. Align with business partners and project leads to understand and aid in the use of data to address business issues and questions of varying scale
Analyze, mine, and model data using statistical methods and implement algorithms and software needed to perform analyses. Develop machine learning tools and other solutions to improve modeling
Identify behaviors, trends, insights and translate findings in a way that can be easily interpreted by others. Communicate findings to business partners, leadership, or other key stakeholders to ensure models are well understood and can be incorporated into business processes
Evaluate inbound product and customer-originated data sets for meaningful trends and patterns. Develop key metrics and report and visualize findings
Represent CNH Industrial interests to industry organizations, government regulators, academic and other partners as needed
Lead peer review and analysis of models created by data science team
Bachelor's Degree in Mathematics, Statistics, Computer Science or Engineering
Minimum 6+ years of experience in quantitative analytics, data mining, database management, or related role
Minimum 3+ years leading data analytics teams and/or projects
Experience with Big Data technology platforms (Hadoop, Cloudera, Hortonworks, etc.)
Experience in Statistical Programming environments (Python, R, SAS)
Experience in data insight/visualization tools (QlikVeiw, Tableau)
Ability for domestic and international travel up to 20%
Master's Degree in Mathematics, Statistics, Computer Science, Engineering, Business Administration, or related discipline
Experience in product development or manufacturing industry
Exceptional written, verbal and presentation skills
Strong technical/functional understanding of systems
Strong process analysis skills

181

Data Science Resume Examples & Samples

Bachelor’s degree required and pursuing Master’s degree in analytics, healthcare, business management or related field of study
Experience or knowledge of SQL queries and ability to learn/adapt to new analytic toolsets
Ability to tell a succinct, meaningful, and actionable story with data using visualization and other techniques
Experience in MS Excel, with proficiency using formulas, PivotTables, linked worksheets, graphing and other reporting and presentation features
Ability to analyze data, and apply investigative skills in resolving issues
Ability to produce clear, written operational instructions and supporting documentation
Ability to troubleshoot technical and functional problems
Highly self-motivated and directed with keen attention to detail

182

Data Science Senior Manager Resume Examples & Samples

Works with clients to provide primary and secondary research within an industry or functional area
Assesses industry trends, create reports, prepare forecasts and develop industry/functional models
Uses advanced statistical techniques to find relationships between variables
Solves organizational problems for the client by analyzing requirements, providing valuable market research linked insights and developing tools and processes to aid decision making
Provides solutions tocomplex business problems for area(s) of responsibility where analysis of situations requires an in depth knowledge of organizational objectives
Involved in setting strategic directionto establish near term goals for area of responsibility
Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters
Haslatitudein decision-making and determining objectives and approaches to critical assignments
Decisions have a lasting impact on area of responsibilitywith the potential toimpact outside area of responsibility
Manageslarge teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
Advanced Analytics Program Delivery
Minimum of 8 years of recent experience with consulting or implementing transformational change in the healthcare industry
Minimum of 5 years’ experience leading transformational programs
Minimum of 10 years’ delivery experience in applying advanced modeling techniques in a business environment: strong understanding of statistical concepts and predictive modeling. (e.g., AI neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning, big data platforms, SQL, etc.)
Minimum 5 years’ experience with predictive analytics tools, including at least two of the following: R, SAS, Alteryx, Python, Spark, and Tableau
Bachelor’s degree in quantitative discipline (Engineering, Economics, Statistics, Operations Research, Computer Science)
Masters or MBA (Statistics or Mathematics)
PhD in Analytics, Statistic or other quantitative disciplines
Exceptional presentation skills – ability to convey technology and business value propositions
Proven track record of sales and delivery excellence

183

Head of Data Science Resume Examples & Samples

Minimum 3-4 years’ leadership experience of data science (or equivalent) teams of 10 people or more
Track record of building data science teams, standing up processes, and tooling from scratch in a multinational environment
Proven ability to challenge, motivate, and retain highly educated and skilled team players
Displays innovative approaches to solving business problems
Excellent influencing skills for both technical and non-technical audiences in a global organization
Experience solving for cyber security problems is an advantage
Mastery of hands-on data science tools, processes, technologies, and techniques is assumed
Masters or Ph.D in either maths, statistics or computer science

184

Data Science Program Manager Resume Examples & Samples

You will be responsible to design and build analytics solutions from the ground up, combining disparate systems across multiple technology stacks
You are an expert in developing key ingredients to big data pipelines like, SCOPE & T-SQL scripts, workflow orchestration tasks, other assorted reporting/distribution assets and figuring out how to turn data into actionable insights that support fact-based decision making
You will dive deep into data, for rapid prototyping of reporting solutions and data science models built on top on new and emerging cloud technologies
You feel ownership for everything you deliver and you strive for technical excellence in design, development, testing of reporting solutions
Collaborate with internal & external partners to drive clarity and deliver tools, technology, and feature work. Must be proactive to identify analytical capability gaps, analyze business requirements, and partner across team boundaries to deliver and drive value
Maintain ETL pipelines to shape data and support development and management of metrics, KPIs, and dashboards
Overall 5+ years of hands-on experience on T-SQL, Optimized Query writing, Performance Tuning, Troubleshooting & development experience
Strong understanding of BI Skills using SSIS, SSAS and Power Pivot, tabular models, etc
Experience in data engineering and mining data from structured, unstructured using one or more of following technologies – Hadoop / Cosmos / Spark
Proficient in C#, Scope, iScope, T-SQL, Power BI and Excel
Should have strong programming skills with ability to write optimized and reusable code
Demonstrated experience designing, developing and maintaining databases for enterprise applications
Excellent business analysis experience from data sourcing to analysis to presentation of findings
Extensive knowledge and experience in data warehousing, data processing (ETL), e-metrics / measurement, business intelligence, information retrieval
Data Extraction, Transformation and Loading exposure
Excellent written and oral communication skills, particularly the ability to synthesize complex issues/scenarios into easy-to-understand concepts
Creative and innovative thinker
Effective time management in complex, ambiguous, deadline-driven environments

185

Data Science Senior Advisor Resume Examples & Samples

Assist in the development of new credit scoring models (application & behavioural) across 18 EMEA countries
Development and maintenance of IFRS 9 expected loss provision models
Monitor and analyse scorecard performance, application profile, scorecard metrics and portfolio performance metrics
Develop and maintain scorecard documentation, policies and procedures

186

IBM Spain Technology Internship Program Freno al Ictus Data Science Resume Examples & Samples

University students or recent graduates in degrees related to Technology such as Engineering, Computer Science, Mathematics, etc
Medium/high level of English and fluent in Spanish
Communication and teamwork skills

187

VP of Data Science Resume Examples & Samples

Partner with the CTO to develop a roadmap for the data science team and our algorithms
Analyze, design, and develop algorithms to be used across the organization
Set the team’s long and short-term priorities, and make sure they’re aligned with company goals
Recruit and hire great talent and develop the careers of the data science team with guidance and mentorship
Turn data collection and analysis into actionable recommendations for product features
Be the team’s liaison to the rest of the company. Provide them with information about how features are being used and suggest opportunities to improve engagement
10+ years in Data Science, Machine Learning, Quantitative Analysis
Prior management and team building experience: You’ll be managing several direct reports initially and will have the responsibility of scaling and building out a team of experts
Outstanding communication skills - able to break down the complexity of what you are building/finding into bite-sized chunks that key stakeholders, management and the board can understand
Expert in applied statistics such as distributions, statistical testing, regression, etc
Patience, a sense of humor, and an equal willingness to teach and learn

188

Director of Data Science Resume Examples & Samples

6+ years of experience with a high level programming language (e.g., Java, Python, C/C++) and 2+ years mentoring other data scientists
5+ years of experience with a high level programming language (e.g., Java, Python, C/C++)
Comfortable acting as a liaison between business, data science, and engineering to monitor and implement projects through completion
Proficient at collecting and mining data from different sources using technologies like SQL, Pig, Cassandra, and HBase
Expert at analyzing data and building predictive models inside a statistical computing environment (e.g., R, SPSS, Matlab, Octave)
Experience with deploying data science solutions in a production environment, especially in near real-time settings
Analytical and detail oriented with the ability to prioritize, execute and deliver projects on time
Comfortable acting as a liaison between business, data science, and engineering to see projects completed and used
Self-motivated and creative problem-solver
Must be comfortable with unstructured, fast moving and constantly evolving high growth environment
Experience with data visualization and data visualization tools
Hadoop/Spark
Refined written and verbal communication skills that enable effective communication to multiple, often non-technical, audiences
Experience and expertise with internet marketing data collection and metrics is preferred

189

IT Data Science Technologist Resume Examples & Samples

Have a passion for technology and willingness to explore and adopt emerging technologies for practical business purposes
Bring an upbeat, positive attitude while enjoying working with an agile team to develop innovative technical solutions to help enable business growth and improve customer satisfaction
Experience with machine learning, predictive modeling or statistical analysis in a business or scientific environment
Experience working with large datasets including data integration, analysis and visualization
Be apt at quickly understanding new business domains and be creative and thoughtful about applying technology to improve processes and issues
Ability to quickly build proof-of-concept solutions that are forwarding looking to how they could be implemented on a larger scale
Experience with scientific scripting languages (e.g. Python, R) or object oriented programming languages (e.g. Java, C#)
Have the ability to communicate well verbally and in writing, with various team members in roles that are both technical and non-technical
Be self-motivated with good time management skills
Be willing to coordinating efforts with employees at all levels including internal business partners, other technology teams, external suppliers/consultants, service providers, etc
Work well in teams that may be globally co-located
Ability to identify issues, generate solutions and choose appropriate alternatives using basic root cause analysis
Be self-motivated to stay current with external tools, technologies and processes in information technology
Be a strong team-player delivering on your own responsibilities while being respectful of other team members
Experience using modern ML or analytics software and frameworks
Experience Microsoft SQL Server and the Microsoft BI stack or similar business intelligence software
Experience data integration tools (e.g. SSIS, Informatica, Azure Data Factory)
Understand the cloud computing paradigm using services such as Azure or AWS
Have experience integrating commercial off-the-shelf software packages into a corporate environment
Experience working in a fast-paced, agile environment while providing consistent application lifecycle management
Support innovation thru creative application of software and hardware architecture, design and development with a focus on analytics and machine learning
Develop specified application components or enhancements, as needed
Be comfortable delivering technical solutions for projects leveraging agile project management methodologies
Work with the IT team, business functions, external vendors, and contract resources to deliver project requirements in a timely and cost effective manner
Be able to communicate effectively in business terms and technical terms as appropriate
Help to clarify, identify, and track requirements and project issues and escalate to immediate manager where required
Limited travel is required

190

Head of Data Science Resume Examples & Samples

Articulate and execute toward a vision that effectively combines advances in data science with engineering, product and analytics to make drastic improvements to Thumbtack products
Grow the Data Science team by hiring talented candidates and developing leadership and deep expertise in the team
Provide hands-on technical guidance to challenging data science problems faced by the team on a day-to-day basis
Experience in a senior management role
Minimum of 4 years of industry experience in engineering
Passion for leading teams, setting vision, and developing highly functioning organizations
Expert knowledge of probability and statistics, including machine learning / predictive modeling, experimental design, and optimization
Hands on experience in building large-scale data products and systems
Strong communication skills. Able to communicate complex data solutions across the company, and to coach the team in connecting data science problem solving with product development
Ph.D. or equivalent experience in Computer Science, Engineering, Statistics, or other relevant technical field
Preferred: Experience working on a consumer product or startup
Preferred: Experience with tools in the Hadoop ecosystem such as Hive, Pig, or Spark
Learn more about our culture, benefits, and perks
Learn more about engineering at Thumbtack
Follow Thumbtack on LinkedIn

191

Data Science Co-op-consumer Markets Resume Examples & Samples

Lead high impact Continuous Improvement ideas from adjuster pain points through solution implementation utilizing Lean and Six Sigma techniques
Build reporting structure to monitor the impact of technology integration of Liberty Mutual and Safeco claims from a Homeowners Liability claims perspective
Monitor & report on the results of one or a few initiatives in market, conducting analysis on performance relative to expectations, and making recommendations for enhancements
Utilize current and emerging data science techniques to manipulate large structured and unstructured data sets, help identify patterns in raw data, and develop models to predict the likelihood of a future outcomes
Prototype new algorithms in software systems
Possess strong technical skills, demonstrating proficiency in Microsoft Office Suite applications (e.g. Word, Excel, Access, PowerPoint, etc.)
In some cases, SQL and/or SAS preferred
In some cases, Python, Java and/or C++ preferred
Ability to provide information in a clear, concise manner
Effective analytical skills to gather information, analyze facts, and draw conclusions

192

Data Science Product Manager Resume Examples & Samples

Experience with large data sets and tools used to manage them
Code literate in at least one language used by quants (e.g., Python or R)
Understanding of knowledge representation and open data
Understanding of statistical and Machine Learning techniques
Experience using Agile and Kanban methods
Degree in Computer Science, Mathematics or a Quantitative Discipline

193

Data Science Cross Offering Senior Analyst Resume Examples & Samples

Minimum of 1 year of experience working on advance analytics projects involving statistical models like logistic regression, Cox proportional hazard model, etc
Minimum of 1 year of experience in using advanced analytics tools such as SAS/R
Minimum of 1 year of experience in using data visualization tool such as Tableau, Spotfire, or Qlikview
Minimum of a Bachelor's degree
Able to build and own relationships
Very good Microsoft Office (Excel and power point ) skills

194

Data Science CMT Manager Resume Examples & Samples

Partner and team with technology solution providers and marketing agencies to deliver the best solution meeting the needs of our clients
Decisions often impact the team in which they reside
Project-based analytics including but not limited to Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Big Data Analytics, Pricing and Promotion, Demand Forecasting, Customer Segmentation, Customer Analytic Record, Next Best Action
Minimum of Bachelor's Degree required in related field; strong preference for fields of study in the data science, economics, statistics, and social sciences
Minimum of 5 years of increasing experience in management consulting or industry
Minimum of 5 years delivery experience in advanced modeling environment: strong understanding of statistical concepts and predictive modeling. (e.g., AI neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning, etc.)
Minimum of 5 years expertise with the Microsoft suite (including advanced Excel skills with embedded Pivot Tables & Macros; advanced PowerPoint usage)
At least 4 years experience with predictive analytics tools which may include at least two applications from R, SAS, SPSS, MATLAB, MicroStrategy, and Tableau
Possess a blend of marketing acumen, consulting expertise, and analytical capabilities that can will create value and insights for our clients
Experience in the analysis of marketing databases using SAS or other statistical modeling tools
Experience in professional services negotiations, deal shaping, and pricing
Enthusiasm in executing the end-to-end sales cycle while performing work within an account
Has project management, time management and communication skills necessary to execute the responsibilities and deliver against client expectations
Plan and manage own work in collaboration with the team to meet assigned deliverables in a timely manner

195

Data Science Immersive Instructional Associate Resume Examples & Samples

Work closely with one or more Lead Instructors to guide students through a rigorous, transformational journey towards apprenticeships and entry level roles
Become a better leader, and mentor as you learn from veteran instructors and our world-class instructional coaches
You are eager to shape the skills, minds, and careers of the newest generation of web developers
You have experience working on a software development team
Must have at least 2 years relevant work experience

196

Data Science Summer Internship Resume Examples & Samples

Work with team to develop a pre-ETL strategy and scripts to clean and map data
Write scripts in Python and R to automate the data prep and subsequent data quality testing
Map out a detailed process flow for pre-ETL process which will become a part of the target state data map for 2016-2017 deliverables
Identify automation opportunities within data pipeline and recommend improvements
Collect data to identify root cause of problems, and escalate potential issues to Business Controls management as necessary
Review processes for opportunities improve efficiency and effectiveness, including opportunities to automate processes. Provide recommendations to manager
Provide analysis of new projects and efforts for impact to business processes and controls
Monitor production problems/incidents for impact to business processes and controls, escalate issues to manager or team
Design and perform tests of controls for design and operational effectiveness
Produce effective reports on the business processes and control activity, improvement efforts, as well as current effectiveness of controls
Develop and monitor, with supervision of direct manager, self-testing approaches for applicable individual controls. Work with business lines as needed
Coordinate process and control efforts with control groups to maximize efficiency and effectiveness
Other projects/tasks as assigned
Modern dynamic programming languages such as Python and R
Understand undergraduate statistical construct and how to use them in a program
Graphical/Charting expertise (i.e. Visio)
Spreadsheet expertise (i.e. Excel)
Documentation expertise (i.e. Word)
Presentation experience (i.e. PowerPoint, Word, and Publisher)
Excellent communication skill and ability to interact with users
Currently enrolled in school and pursuing a graduate level degree or higher in statistic, computer science with a minor in business
Experience in process classification, analysis, and identifying process improvements
Knowledge in project planning and reporting results

197

Intern / Co-op Data Science Resume Examples & Samples

Working towards a PhD in Computer Science, Electrical Engineering, Math or Statistics
Experience in solving real-world practical problems using Machine Learning
Experience in mining and modeling large-scale data
In-depth knowledge of Data Mining, Machine Learning, and Algorithms
Knowledge of at least one high-level programming language (C++, Java)
Knowledge of at least one scripting language (Perl, Python, Ruby)
Knowledge of SQL and experience with large relational databases
Knowledge of at least one ML toolset (R, Weka, KNIME, Octave, MLLib, scikit-learn, MATLAB)
Strong ability to formalize and provide practical solutions to research problems
Strong communication skills and ability to work independently to get an idea from inception to implementation
Knowledge of the state of the art in at least one of Bayesian Optimization, Recommendation (desired)
Systems, Social Network Analysis, Information Retrieval, Graph Theory
Experience with storing, sampling, querying large-scale data and experimentation frameworks
Experience with Hadoop, Spark, Mahout or Giraph

198

Data Science Architect Resume Examples & Samples

45% Technical Execution
Identify opportunities for using different analysis techniques and evaluate which are best
Lead specification, design, and implementation of advanced analytics projects
Stay abreast and evaluate the latest in analytics technologies and determine how to incorporate these into our data science best practices
Understand and follow conventions and best practices for analysis, statistics, modeling, coding, and architecture; hold other members of the team accountable for doing so
Develop and adhere to rigorous testing of statistics, models, and code
Develop training materials and educate others on best practices
40% Contributions to the Team
Act as the subject matter expert for advanced analytics
Develop roadmaps for advanced analytics projects and support decomposition into scrum artifacts such as epics, stories, and tasks; estimate size of tasks for project management
Integrate with and support the team in executing developed roadmaps; volunteer for work in the backlog; coordinate efforts across the team to ensure completion and effectiveness
Participate and contribute to scrum meetings i.e. daily stand-up, sprint planning, readouts and retrospectives
Participate in team member interview process as needed
15% Cross functional Coordination and Communication
Build strong relationships with cross-functional team members and business stakeholders
Share business and technical learnings with the broader engineering and product organization, while adapting approach for different audiences
Be an evangelist for data science within the company, and help non-technical partners understand how they can benefit from data science
Work collaboratively across the Technology, UX, and Product organizations to ensure alignment towards business goals
Advanced degree (PHD, MS) in relevant field. For example but not limited to physics, math, or computer science
Expertise in formal statistical methods and/or machine learning
Excellent verbal communication and business writing skills
Ideally four years of data science business experience
Experience collaborating with cross functional teams
Agile/Scrum methodology experience preferred
Preferred experience with at least one programming language (such as python, C/C++, java)
Proficiency with data analysis languages and tools such as Python/Jupityr, R/RStudio
Proficiency with relational databases and SQL including query analysis and optimization
You love to own & lead dynamic, important work, and have always excelled regardless of your prior field or role
You find it difficult to turn down a good challenge; you ask a lot of questions & appreciate when others do so too
You excel at building relationships and influencing at senior leadership levels
Possess an eagerness to learn and disseminate new knowledge
Have the ability to communicate technical information to non-technical audiences
Ability to be flexible and change with the environment, industry and business demands
Strong project management abilities, ideally using agile methodologies

199

Head of SBG Data Science Engineering Resume Examples & Samples

Provides guidance and support leadership to Business leaders and stakeholders on how best to harness available data in support of critical business needs and goals
Leads the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning
Uses considerable expertise and independent judgment in collaborating with peers, data engineers, database managers, and business analysts in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for complex and unique business problems
Applies proven methods and hacking skills in working with divergent data types, data scales, and big data (petabytes), to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources (relational and non-relational NoSQL databases)
Business-oriented researchable questions or "working hypotheses" generated in collaboration with business leaders and stakeholders
Research plans and specifications for large data sets (e.g., statistics, sampling strategy, test specification, steps)
Algorithms that result from the validation of hypotheses, and contribute to useful predictions and insights
Input into product development or marketing strategies
Analytical inquiry findings

200

Data Science Resume Examples & Samples

Engage with business units and cross-functional teams focused on building businesses
Develop a deep understanding of data-sets through a combination of database queries, and exploratory statistical analysis
Design and develop Machine Learning models and algorithms that provide insights and drive performance, across key areas of interest to the company
Formulate business needs as data science problems where applicable, and effectively communicate these to peers, managers, and key stakeholders, including the benefits and limitations of models

201

Senior Data Science Practitioner Resume Examples & Samples

Management and execution of substantial analytics projects, both as a practitioner and coordinating the input of other team members
Develop our understanding of client behavior by researching and exploiting new datasets
Develop strong relationships to understand business goals and requirements to derive insights from data
Measure and articulate the effectiveness of sales and marketing campaigns
Develop prototypes to affirm business requirements and expectations
Troubleshoot and assess impact of erroneous data, suggest solutions to correct the root cause
A strong contribution to the development of our analytics function through
Knowledge of how information describes the business domain in a broker/dealer or asset management firm

202

Data Science Internship Resume Examples & Samples

Define, design & develop proof of concepts to demonstrate new concepts find Information in Data for actionable insights Extensive hands-on work with Data and Predictive Models
Working with leading edge technologies such as HTML5, JavaScript, Cloud and InMemory technologies
Interact with colleagues, experts and architects in an highly international environment
Define, design & develop proof of concepts to demonstrate new ideas, translate ambiguous ideas into compelling features / demo
Participate in all phases of data science from Data cleansing, Feature Engineering, Building Predictive Models, and show case an end to end story by consuming the models in Business Applications
Explore latest research in Machine Learning / Data Mining
Proficient in R ( preferred) or Python
Good Knowledge of Statistics , Data Structure with some knowledge in Data Mining
Communicate proactively, precisely & accurately interact with colleagues in an international environment
Student presently studying Computer Science or equivalent
Hands on Experience with Open Data Science Challenges ( like Kaggle) will be preferred
Top achiever in previous years
High levels of curiosity and autonomy

203

Data Science Program Manager Resume Examples & Samples

You’re an expert in data analysis and modeling - figuring out how to turn data into actionable insights that support fact-based decision making
You will dive deep into data, analyze multiple large data sets using data mining, and database techniques. You feel ownership for everything you deliver and you strive for technical excellence in design, development and validating of reporting solutions
Collaborate with our business partners to understand objectives, deliver maximum business impact and return on investment. Must be proactive to identify analytical capability gaps, document business requirements, and partner across team boundaries to deliver and drive value
5+ years of experience in advanced data analytics, quantitative analysis or data modelling
Experience with ETL, Data Modeling, and working with Business Intelligence systems is mandatory
Extensive knowledge and experience in data warehousing, data processing (ETL), e-metrics/measurement, business intelligence, information retrieval and presentation
Functional knowledge of cloud computing and online services business models, including business, technical, and operational metrics
Familiarity with data science and a high-level understanding of the ML models typically used in business scenarios
Experience in data engineering and mining data from structured, unstructured using one or more of following technologies - Hadoop/Cosmos/Spark. Proficient in C#, T-SQL, Power BI and Excel
Proven ability to deliver on data and reporting solutions. Exceptional technical know-how, ability to quickly adapt to new technology and go deep in new focus areas

204

Lead, Data Science Resume Examples & Samples

Supporting diverse technical teams to ensure project deliverables fulfill business needs are on-time, effectives and meet business requirements
Contributing to the definition of an overarching big-data-driven approach to advanced analytics strategy and architecture
Working with cross-functional teams to discover and develop actionable, high-impact data analytics need and data opportunity statements in a variety of core business areas
Managing the development of industry leading solutions including
Creating breakthrough solutions, performing exploratory and targeted data analyses to drive iterative learnings
Working with business domain, IT and data experts to identify detailed data needs, sources, and structure to support solution development
Fulfilling technical requirements and data analytic activities
Synthesizing large scale data sets (100’s of terabytes) from multiple structured and unstructured data sources
Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
Highly collaborative work style
Ability to evaluate the big picture and solve business problems rather than focusing only on metrics
Familiar with data aggregation and manipulation using large data formats, e.g., SQL on Hadoop
Knowledge of data quality, data cleansing, data wrangling, and data standards
Ability to troubleshoot data quality and data integrity issues
Work experience in a data-intensive industry such as biotechnology, engineering, astrophysics or particle physics experiments, quantitative finance or high frequency trading, intelligence analytics

205

Assistant VP, Data Science Resume Examples & Samples

10 plus years related experience. Bachelor's Degree Required. Master's Preferred
Superb written and oral communication skills and very strong interpersonal skills, including a desire to work within a highly-matrixed, team-oriented environment. Candidates must demonstrate a history of increasing responsibility and leadership within an organization of comparable size and complexity
Strong ability to assimilate and synthesize data; to be a problem solver and decision maker; and to not only identify issues but also develop solutions and appropriate action plans
Experience in managing all facets of application development through the complete project life cycle using both traditional (waterfall) and agile methodologies
Experience in providing architectural guidance and direction with respect to data and systems workflows and integration
Ability to define and gain adoption of best practice techniques
Ability to lead innovation
Ability to build an organization through innovative use of recruiting, training, career path planning and other enlightened HR practices

206

Data Science Research Scientist Resume Examples & Samples

Carry out an active and ambitious research program by investigating novel solutions with potential for breakthrough innovation
Publish the outcomes of the research in major scientific venues worldwide, including top conferences and journals
Create and maintain strong collaborative relationships with researchers from academia, other leading research bodies, business units, and government agencies
Partner with business units to ensure the successful exploitation of research outputs
Generate intellectual property through the patenting of ideas
Contribute in a positive manner to the creative and innovative atmosphere in Bell Labs

207

Data Science & Analytics AVP Analyst Resume Examples & Samples

Setup of the data analytics capability for the platform by identifying and harnessing the value in the data we have available to expand further our data quality capabilities
Lead requirements gathering from business users and their business issues and derive solutions in terms of dashboards, indicators and/or algorithms
Define a roadmap to address the needs of business users and execute the roadmap based on resources made available by senior management
Create an automated and adaptable quality warning framework with the objective of detecting outliers in the data that is being sourced in partnership with the data owners and data process owners
Ensure that an effective visualization of the information addressing business needs / issues
Setup a production team off-shore that will ensure maintenance of the defined tools while the on shore team focuses on research and development activities
Oversee the identification and implementation of solutions which assure CIB/IS referential data set is controlled, robust and consistent throughout the organization’s reporting and platforms
Represent BNP Paribas into industry working groups and initiatives linked to the team’s activities
Keep update on technology changes with regards to machine learning and analytics
Develop and maintain knowledge on the BCBS239 guidance as well as the RaDAR program implementation so as to constantly adjust, as relevant, your activities to the approach promoted by the Group
Master’s degree required in statistics or related field
At least 15 years of overall professional experience with a significant portion in, or involved with, the financial services industry
Excellent understanding of machine learning techniques and algorithms such as Naive
At least 3 year of experience with machine learning based tools and processes
Proven applied statistics skills such as statistical testing, distributions, regression, etc
Proficiency in SQL language and SAS application
Experience with data visualization tools and techniques used in the big data field
Excellent communication skills with the ability to simplify a concept to be able to share the approach and its results effectively with staff not familiar with data science concepts or tools
Develops open, considerate, effective and productive working relationships with customers, external contacts and individuals within CIB/IS perimeter
Responds appropriately and competently to the demands of work challenges when confronted with changes, ambiguity, diversity and other pressures
Assumes responsibility for effectively meeting objectives, motivates self to get the job done, performs job duties in an organized, accurate and productive fashion, seeks out and is open to knowledge, ideas and feedback to improve effectiveness, and holds self-accountable for following policies, guidelines

208

Associate Director, Analytics & Data Science Resume Examples & Samples

Leads routine to complex analysis of sales and profitability data to recommend and execute on projects to advance the firm’s execution against strategic initiatives and growth objectives
Collaborates with sales and account management leadership to understand pressing business needs and act as a strategic thought partner to address those needs
Models, analyzes and proposes goals and incentives for revenue generating and service delivery staff and report on actual results
Works with I.S. team to design and implement new databases to support business functions of the group
Creates models to forecast future performance and model the impact of new initiatives on revenue and service delivery
Consistently looks for opportunities to innovate across the organization; including, process change and tool creation
Bachelor’s Degree in business, finance, accounting or a related field
Minimum of 5 years work experience in business development, finance or accounting
Experience in quantitative and financial analysis with a mastery of MS Excel and/or MS Access
Experience in supervising a team and project management
Excellent interpersonal and communication skills including ability to prepare presentations and present ideas to senior leadership
Able to think clearly and reach well founded conclusions and articulate ideas crisply and concisely; capable of making high level decisions with confidence and accomplishing results
Able to work under tight timelines and reprioritize work as needed
Exceptional analytics, written, oral and presentation skills
Proven ability to clearly and concisely articulate insights from data analysis and apply insights to actionable business strategies
Proven ability to manage multiple simultaneous projects
Ability to work as a leader and team player with sales and finance executives
Member service ethic
Discretion in handling sensitive firm, department and individual performance information
Ability to work autonomously and as a member of a team

209

Data Science Research Associate Resume Examples & Samples

Ph.D. completed in educational psychology, statistics, data science, learning analytics, or a similar discipline
2 or more years of experience designing and implement assessments of student learning in academic programs, including the use of learning analytics data, direct measures of student learning, survey instruments and focus groups
Skills

210

Director Consumer Data Science & Analytics Resume Examples & Samples

Develop segmentation to inform loyalty and engagement marketing campaigns
Create marketing strategy and segmentation for credit card marketing
Create reporting functionality for mobile app use including acquisition funnel, feature usage, customer journey
Bring a modern testing methodology and tools to improve marketing campaigns and digital product development
Develop targeting and behavioral models to inform product and marketing strategy
Create marketing offer engine that delivers 1:1 marketing based on ROI and response rate models
10+ years of analytics experience in the payment or financial services industries
5+ years in Data Analysis, Data Management, Business Intelligence
5+ years working knowledge and experience with DBMS solutions
Develop, maintain and improve industry leading targeting and behavioral models that deliver business results that meet and exceed our goals
Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
Continuously improve modeling and strategies by exploring and evaluating new data sources, tools, capabilities and processes
Deep experience working with big data and building effective models
Exceptional ability to think strategically and analytically coupled with strong written communication skills (ppt)
SAP Business Objects
SAP Information Steward / Data Services
Oracle
MS SQL Server

211

Team Lead, Digital Analytics & Data Science Resume Examples & Samples

Partner with global marketing and digital strategy teams to address key business questions by identifying trends and patterns, designing tests and experiments, conducting deep dive statistical analysis
Research and prototype new methods and algorithms for measuring prospects engagement, predicting conversion rate / life time value, calculating multi-touch attributions, and optimizing media mix
Collaborate with engineers and analytics vendors to enhance our tracking, tag management, data pipeline, and analytics framework
Own end-to-end marketing campaign analysis using both structured CRM data and unstructured web data to uncover insights and discover optimization opportunities related to cost of acquisition and lead quality
Organize and provide regular updates to executive management to present analysis and actionable recommendations
Provide analytic thought leadership. Motivate, mentor and develop junior analysts
8+ years of relevant and progressive experience in digital marketing, advanced analytics, decision support, or data science
Expert user of digital analytics tool such as Adobe Analytics and Google Analytics
Advanced knowledge of Excel, SQL, statistical modeling, and development experience in scripting language such as R, Python
Experience with web tag management, marketing automation systems, lead generation business model, and financial services industry preferred
Excellent problem solving and critical thinking skills; exceptional planning and project management skills
Demonstrated team leadership, capacity to learn, and a passion for excellence
Advanced degree in Mathematics, Statistics, Computer Science, or equivalent combination of education/experience

212

Data Science Trainee Program Resume Examples & Samples

Extensive experience in analytics or a related discipline
Advanced English (required)
Full-time availability starting May 2nd, 2017
Basic knowledge in programming: VBA, SQL, R or similar languages
Strong Math and Stats background (preferred)
Problem solving, critical thinking skills
Interest in Marketing, Finance, or Financial Services areas
Degree in engineering (five-plus years), programming, computer science, finance, statistics, mathematics or a similar field

213

Intern, Data Science Resume Examples & Samples

Importing data into databases
Developing data models
Writing SQL or P code for cleaning the data and for developing statistical models
Possible involvement with machine learning
End of Internship Presentation

214

Manager, Machine Learning & Data Science Resume Examples & Samples

10+ years software engineering experience
3+ years management experience
3+ years commercial machine learning experience
Solid foundation in machine learning, data structures, algorithms, and software design
A strong understanding of machine learning, deep learning, computer vision, image processing, or artificial intelligence techniques
Senior-level OOP programming experience. You do need to be able to build prototypes and be able to understand the existing code base
Senior-level Python (numpy, scipy, Pandas, Matplotlib), R and/or Java programming experience is highly desired
Experience with the latest machine learning frameworks such as MLlib, Mahout, Scikit-learn, TensorFlow, Keras, Theano and OpenCV is desirable
Understanding of deploying Enterprise grade, cloud based machine learning applications with REST interfaces and microservice architecture would be desirable
Experience of NoSQL solution development MongoDB is plus
A principled approach to solving algorithmic problems with a focus on delivering business value
High attention to detail and ability to thoroughly think through problems
Highly motivated, highly collaborative individuals
Minimum Bachelors or Masters in Computer Science or Engineering. Masters or Ph.D. preferred

215

Data Science Resume Examples & Samples

10+ years of experience within the technology field. Will previously have held a leadership role within technology or business field
Bachelor's Degree and/or advanced professional qualification(s)) in related field. Proven record of academic achievement at highest level. Phd/Master's Degree in related discipline an advantage
Significant applicable experience in related industry discipline and deep knowledge of a particular market, industry or role; deep understanding of both technology and industry to include the market, vendors, products and user strategies in specific areas
Experience in Data preparation, exploration and visualization for advanced forms of analytics (including clustering, classification and predictive models, forecasting, simulation and optimization) is key
Articulate and succinct communication skills; ability to explain complex ideas effectively
Exceptional analytical skills; ability to apply conceptual models, recognizing patterns and drawing and defending conclusions
Strong project planning and management skills
Strong team-working ethos
Exceptional influencing and leadership skills
Thought-leadership in establishing research positions in collaboration with a team of analysts
Ability to demonstrate research value leading to successful sales
Ability to provide focused one-day client engagements as a research area expert
Dealing effectively with the press
Credibility as an industry leader to represent Gartner research methodology and strategies

216

Data Science University Project Analyst Resume Examples & Samples

Understand and have developed, validated and executed algorithms and predictive models to investigate problems, detect patterns and recommend solutions
Have experience exploring, examining and interpreting large volumes of data in various forms
Possess experience with performing analyses of structured and unstructured data to solve moderately complex business problems. utilizing advanced statistical techniques and mathematical analyses
Have experience in developing data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs
Have exposure to working with the University Relations teams to setup and host onsite visits to recruit Data Science talent
Possess experience building a pipeline of talent from select schools and a brand presence; review candidates and screens for top talent; and run a successful department level internship programs
1-3 years of relevant programming or analytic experience
1-3 years of experience recruiting or related experience with internship programs, and strong project management abilities
Demonstrates good written, verbal communication, socialization skills. Able to present information to various audiences

217

Summer Intern, Product Owner, Data Science Resume Examples & Samples

Work on cross-functional projects to develop and implement new machine learning driven applications and process improvements
Scope multiple data science projects and work closely with Business Owners to understand business objectives in order to scope projects appropriately
Facilitate data gathering and definition alignment to support application development

218

iXp Intern, Data Science Product Manager Resume Examples & Samples

Learn scrum and product management tools by managing the scrum board and sprint planning
Perform market research regarding product and market landscape
Conduct user research and user interviews
Contribute to the storyboarding process and help create user stories
Help guide vision of product by creating product timeline and roadmap
Requires candidates to currently be enrolled in an undergraduate, Masters, MBA or PhD degree; Computer Engineering/Design/Data Science/Business or related fields
Has programming skills or knowledge a plus (e.g. C#, C++, Objective C, JavaScript, Java and/or HTML5)
Knowledge of product management tools (JIRA, HuBoard, Asana, etc) or scrum processes is a plus
Enjoys ambiguous challenges, fast iterations, and independent thinking
Stellar communication skills (experience with user interviews a plus)
Having worked with various technologies during your studies but also independent of it (e.g. as an intern, as trainee, at a start-up or together with friends or just for fun), to demonstrate that you’re driven to create beautiful and valuable technology solutions
Strong enthusiasm and an interest for new technologies and business models of the next generation
Demonstrates to be a team player with experience working on an interdisciplinary team
Be able to tackle complex challenges with great initiative independently and as a member of small teams
Previous product management experience a plus but not required
Candidate must be local to the Silicon Valley to be considered
Must be able to work in Palo Alto, CA during summer 2017

219

Director of Data Science Resume Examples & Samples

Lead and create a small team of data scientists
Mentor and hire the best data scientists in the valley
Applies artificial intelligence and machine learning techniques to solve complex questions or fuel new business opportunities
Delivers breakthrough benefits to Intuit users/customers across small business & consumer products using individual, enriched, and aggregated data
Provides leadership in advanced engineering, data science and analytics in the development of current or future products or technologies
Provides technical leadership across multiple teams, by understanding a key technology space deeply enough to help guide strategy
Provide/inspire data science innovations that fuel the growth of Intuit as a whole
Understands and teaches proven methods and hacking skills in working with divergent data types at scale, to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources
Provides to business stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research
BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research, etc.)
10+ years experience leading data science and/or software engineering teams
Innovative and disruptive technology leader solving long term strategic outcomes
Expert command of AI and machine learning, statistical modeling, state-of-the-art tools, and engineering best practices
Impeccable attention to detail and strong ability to convert complex data into insights and action plans
Strategic thinker, flexible problem solver, great listener and team orientation
Able to effectively communicate a vision and inspire others to innovate

220

People Analytics & Data Science Mgr Resume Examples & Samples

Bachelors in a quantitative research field (e.g., Computer Science, Electrical Engineering, Machine Learning, Applied Mathematics, Physics, Mathematics, etc.). Masters and PhD preferred
3-5 years business experience building out recommendation systems and / or improving search to achieve business objectives in a B2C setting (e.g., e-commerce, retail, travel, etc.)
Practical, intuitive problem solver with a demonstrated ability to translate quantitative analysis into actionable business strategies
Strong expertise in foundational approaches to Informational Retrieval and Recommendation Systems; Deep connections to the recommendations and / or information retrieval academic community; familiarity with the state of the art through conference proceedings and journals
Experience and proficiency with various programming languages (e.g., Java, Python), statistical packages (e.g., R, MatLab, Mathematica), data modeling, graph databases, and application servers

221

Data Science Cross Offering Manager Resume Examples & Samples

Minimum of 7 year of experience in using advanced analytics tools such as SAS/R
Minimum of 7 year of experience in using data visualization tool such as Tableau, Spotfire, or Qlikview
Strong Client facing skills
Should have business acumen, take initiative and be self-driven
Experience working across teams from multiple geographies (e.g. USA, Europe etc.)

222

Data Science Cross Offering Senior Manager Resume Examples & Samples

Analytics driven engagements
Minimum of a Master’s degree
Very good Microsoft Office (Excel and PowerPoint) skills
Hands-on application of SAS, R, Alteryx, and other statistical software/applications
Strong business and technical knowledge accountability
10+ years of Industry experience

223

Data Science Lead Resume Examples & Samples

Technical leadership with focus on driving innovation and new technology / capabilities into the technical platform, creating an environment that allows developers to quickly delivery new applications as required by the business
Partner with other engineers to lead team to develop and deploy newest technologies across the globe
3+ years experience in leading and designing technical architectures, 3+ years designing and developing cloud solutions (AWS preferred), 7+ years of full stack development with heavy experience in C#, plus experience in Java, Scala, python, or NodeJS. Experience in mobile or web development a plus

224

Manager, Data Quality & Data Science Resume Examples & Samples

The manager of data quality and science must be well versed in both software development best practices and research best practices
He or she will be responsible for managing a team of software professionals, including development and QA
He or she will also be responsible for managing a team of research specialists
The manager will be responsible for liaising with other groups, such as product management, operations, services, and support
The manager will be responsible for making sure that releases are made on time and with high quality
Additionally, the manager will be responsible for tracking ongoing research projects, and providing regular updates on said research progress
The manager will be responsible for working with offshore development teams

225

Data Science Machine Learning Expert Ndiv Resume Examples & Samples

Working under the guidance of project leads, help manage team projects via task scheduling and tracking, issue management, status reporting, budget management, and stakeholder communication
Explore and examine innovative ways to optimize the ‘cost-to-analyze’ though an intelligent application of machine learning toolsets
Master’s Degree Required
Data science architecture and role of machine learning
Supervised and unsupervised machine learning model trainings

226

Data Science Director Resume Examples & Samples

Implement the latest and best statistical and machine learning methods for targeted acquisition and cross-sell
Create, document, test, deploy, audit, and maintain statistical methods and models
Participate in special projects to assess existing and prospective initiatives. Contribute to the joint agile development of custom internal data mining and statistical modeling software applications
Collaborate with the legal, compliance, and risk teams to ensure all modeling activities satisfy regulatory requirements and company policy. Champion corporate policies and procedures. Ensure compliance with legal and regulatory requirements. Work with management to develop and apply effective risk management processes and controls
Engage with other data scientists and analysts across the enterprise to enhance methods by continuously updating general understanding of and appreciation for their value
Ph.D. (ABD sufficient) in an applied quantitatively-oriented or computationally-oriented field such as statistics, economics, applied mathematics, or operations research
5-7 years of related work experience in similar or directly related functions; preferably in financial services, retail, healthcare, telecommunications, entertainment, or other industries with strong direct marketing, digital marketing, and experimental design practices
Must have strong understanding of data mining models, structures, theories, principles, and practices, including machine learning, statistics and text mining techniques
Must have thorough understanding of structured analysis, multivariate methods, classification, targeting, behavioral segmentation, and financial analysis principles. Strong modeling skills, including the development of cluster analysis, logistic regression and other generalized linear regression techniques, decision trees non-linear algorithms and forecasting/time series analyses. Practical expertise in the design of experiments and providing recommendations for best measuring success
Excellent knowledge of data mining / statistical analysis tools such as SAS, R, and python
Experience developing and applying statistical or machine learning methods in a corporate environment through applications such as SAS, R, S-PLUS, or python
SAS certification (if not present at hiring, we will encourage obtaining Base certification and potentially additional levels once on the job)
Fluent in programming languages such as Python, Java, or C++ in a data mining context, and experience building web-based applications using HTML, CSS, Perl, and JavaScript
Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, Teradata, and Hadoop
Strong experience with business intelligence and data mining tools such as Business Objects, Microstrategy, Tableau, Qlickview, and SAS Enterprise Guide/Miner
Progressive thinker and problem solver, with a strong ability to manage ambiguity/complexity. Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
Experience working in a consumer-centric company with teams of technical professionals in a cross-functional environment
Ability to embrace change, constructively negotiate constraints, and effectively leverage resources to create exceptional outcomes. Consistently inspires high levels of professional demeanor and integrity
Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
Advanced level experience with Microsoft Word, PowerPoint, and Excel
Proven people and thought leadership abilities

227

Data Science Developer Lacey Resume Examples & Samples

IT Specialist 1: $40,428 - $53,016 annually depending on qualifications
IT Specialist 2: $46,884 - $61,512 annually depending on qualifications
IT Specialist 3: $51,756 - $67,884 annually depending on qualifications
Awareness-level working-level workload management skills - plan and organize assignments to create timely, accurate work products. Work efficiently, remain focused, and handle interruptions effectively
Awareness-level problem solving skills
Working-level customer service skills - build and maintain customer relations and satisfaction
Awareness-level testing skill - unit testing, requirements testing, user testing, load testing, functional, performance/load testing, and regression testing
Associates or higher degree related to computer programming, mathematics, or statistics
Read the job posting very carefully. Find out as much as you can about the position
Make sure you are very diligent in following all the application instructions. Include all requested documentation
Make sure your application and supplemental question responses address how you meet each of the required and desired qualifications
Carefully read each of the supplemental questions and respond completely to each one. Pay careful attention to each component of the question, providing examples, and thoroughly describing when and where you achieved the proficiency level, and detail the types of work you performed, the work products, etc., to demonstrate 'how'
Specifically include all of your work experiences doing the same or similar work, especially if you reference work in these jobs in describing when/where you gained proficiency level skills
Make sure your application reflects your best writing

228

Lead Data Science Developer Lacey Resume Examples & Samples

IT Specialist 3: $52,788 - $69,240 annually depending on qualifications
IT Specialist 4: $58,284 - $76,464 annually depending on qualifications
IT Specialist 5: $64,296 - $84,384 annually depending on qualifications
Awareness-level workload management skills - plan and organize assignments to create timely, accurate work products. Work efficiently, remain focused, and handle interruptions effectively
Awareness-level application development skill
Working-level testing skill - unit testing, requirements testing, user testing, load testing, functional, performance/load testing, and regression testing
Bachelors or higher degree related to computer programming, mathematics, or statistics
Experience in statistics, computational data analysis, and interpretation of results

229

Hana Data Science Internship Resume Examples & Samples

"Self-Study","Continuous Learning" & "Can Do"attitude
Support and execute pre-sales activities
Support in preparation and packaging of HANA full usage customer implementation solutions (PoCs)
Directly liaising with customer representatives from IT and the Business and managing expectations
Expand own skill sets to new areas such as Predictive Analytics, BI, ETL
Bachelor’s degree in Mathematics, Physics, Computer Science, Engineering, Business Analytics, Information Systems or equivalent degree
Experience in an Object Oriented programming language (e.g Java, Python, Ruby)
Database Programming: SQL Scripts / Stored Procedures / Functions
Database architecture & design techniques for both OLTP and reporting requirements
Good understanding of SAP core products, including SAP HANA Platform architecture, SAPUI5 framework and SAP’s User Experiecence (UI/UX) concept. Knowledge on any of the below will be considered a major plus
Data modeling in SAP HANA (calculation views, transformations, data transfer process, datasources, etc.)
Performance and tuning (aggregates, compression and archiving)
Experience in building of ETL processes; knowledge of data sources and data Integration
Mathematical Modelling: MatLab, Predictive Workbech/SPSS, SAS, R
D3.js experience
Work experience or projects on the below will be considered an advantage
SAP HANA Native Development
SAPUI5 & SAP Web IDE
SAP Business Objects Business Intelligence Portfolio
Big Data landscapes (e.g. Hadoop)
Any other industry leading data warehouse platforms/tools
Ability to multi-task and work independently
Taking initiative taking to prioritize and resolve problems
Excellent written, verbal and communication skills. Fluent English language skills
Team player. Ability to lead, guide and work well with others
Results-oriented with high potential for growth

230

VP, Data Science & Engineering Resume Examples & Samples

Independently, but in collaboration with Head of Technology and Head of Product, set team charter and strategy
Drive technology strategy for the data analytics platform and tools, aligned closely with Medallia product strategy
Work with internal teams and clients to identify priority research questions
Design, lead, and manage research projects and product related-initiatives
Drive model development from inception to production
Apply expertise in statistics and data mining to evaluate the impact of customer experience management on operational and financial outcomes (as well as those yet to be discovered)
See beyond the numbers to identify findings of strategic importance to Medallia and practical value to clients
Communicate analyses and results in ways that are accessible, relevant, and meaningful to a business audience
Master’s degree or PhD in an analytic field (e.g., Computer Science, Statistics, Operations Research, Engineering, Market Research, Biostatistics) or a field that uses advanced analytics in an organizational context: Organizational Behavior, Management Science, I/O Psychology, Economics, Sociology
Deep experience performing advanced data analytics in a business, academic, or related context (e.g., high-tech, market research, management consulting, operations research, finance, etc.)
Expert knowledge of research methodology, quantitative modeling, AI & machine learning, and statistical techniques
Track record of shipping and making data science a point of product differentiation
Deep knowledge of running models at scale
Ability to explain value of different analytic methods, and the output of data analyses, to non-technical audiences, including executives, program managers and other staff
Big picture perspective and a healthy obsession with detail
Experience coding in SQL, Python, Spark, Hadoop, Pig and/or other tools for manipulating very large data sets
Demonstrated knowledge of statistical software (e.g. Stata, R, SAS, SPSS)
Deep curiosity and love of problem solving

231

PhD Positions on Data Science, Theme Services Resume Examples & Samples

Participate in activities of the group, not only in ‘s Hertogenbosch but also in Eindhoven and Tilburg
Be willing to work at multiple locations (the Mariënburg campus will be the main office of the Ph.D. candidate, but one may also be temporary stationed at TU/e and/or at TiU or with one of our partners)
Possess good communication capabilities and be an efficient team worker
Be fluent in English, both spoken and written
A full-time temporary appointment. The duration of the contract will depend on where the organizational positioning will take place

232

PhD Positions on Data Science, Theme Rules Resume Examples & Samples

Perform scientific research in the domain described
Publish results in scientific journals
Participate in activities of the group, not only in ‘s-Hertogenbosch both also in Eindhoven and Tilburg
Be willing to work at multiple locations (the Mariënburg campus will be the main office of the PhD candidate, but one may also be temporary stationed at TU/e and/or TiU or with one of our partners)
Have a Master degree in Mathematics, Statistics, Computer Science, Psychology, Econometrics, Law or a related discipline
Be highly motivated, be rigorous and disciplined when developing algorithms and software according to high quality standards
A gross salary of € 2,191 per month in the first year increasing up to € 2,801 per month in the fourth year
A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually)
Assistance in finding accommodation (for foreign employees)
A broad package of fringe benefits (including excellent technical infrastructure, child day care, savings schemes and excellent sport facilities)

233

PhD Positions on Data Science, Theme Humans Resume Examples & Samples

Collaborate with other researchers in this project
Present results at (international) conferences
Participate in activities of the group, not only in ‘s-Hertogenbosch but also in Eindhoven and Tilburg
Be willing to work at multiple locations (the Mariënburg campus will be the main office of the Ph.D. candidate, but one may also be temporary stationed at TU/e and/or atTiU or with one of our partners)
Be a fast learner, autonomous and creative, show dedication and be hard working
Support for your personal development and career planning including participation in the EIT doctoral training, courses, summer schools, conference visits, research visits to other institutes (both academic and industrial), etc

234

PhD Positions on Data Science, Theme Business Resume Examples & Samples

Participate in activities of the group, not only in ‘s-Hertogenbosch but in Eindhoven and Tilburg
Assist in teaching undergraduate/graduate courses
Have a strong interest in data science research
Researchers from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary. The University will apply for such an allowance on their behalf
The opportunity to perform research in a large-scale joint project from a leading technical university and a leading high-tech company

235

Head of Data Science Resume Examples & Samples

Define, build, and lead a team of data scientists and machine learning scientists
Be the voice of analytics, support in-depth business reviews, and present to senior management
Discover areas of the customer experience that can be automated through machine learning
Partner with Product Management teams to drive requirements for new products and integrate data during product development
3+ years of experience managing teams of 5 or more
Experience in projects involving cross-functional teams
Proven track record of strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams across the world
An MS or PhD degree in Computer Science, Mathematics, Statistics, Finance, Machine Learning or related technical field
Experience in online advertising, loyalty programs or financial services (payments products, specifically credit cards would be ideal)

236

Data Science Financial Services Analytics Senior Manager Resume Examples & Samples

Leverage ones hands on experience of working across one or more of these areas such as real world evidence data, digital marketing data
Solutioning for propositions around one or more of the below areas
Minimum of 7 year of experience working on advance analytics projects involving statistical models like logistic regression, Cox proportional hazard model, etc
Ability to manage large analytics teams both on and off-shore
Experience working across teams from multiple geographies

237

Intern, Data Science Resume Examples & Samples

Nurture Diversity
Must possess knowledge in statistics, computer science, data mining and/or machine learning
Must possess hands on experience with advanced analytics programing languages and/or big data technologies

238

CIB Data Science Resume Examples & Samples

Coordinate internal resources and third parties/vendors for the flawless execution of projects
Ensure that all projects are delivered on-time, within scope and within budget
Developing project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility
Ensure resource availability and allocation
Develop a detailed project plan to track progress
Use appropriate verification techniques to manage changes in project scope, schedule and costs
Measure project performance using appropriate systems, tools and techniques
Report and escalate to management as needed
Manage the relationship with the client and all stakeholders
Perform risk management to minimize project risks
Establish and maintain relationships with third parties/vendors
Create and maintain comprehensive project documentation
Great educational background, preferably in the fields of computer science or engineering for technical project managers
Proven working experience as a project administrator in the information technology sector
Solid technical background, with understanding or hands-on experience in software development and web technologies
Strong working knowledge of Microsoft Office
PMP / PRINCE II certification is a plus

239

Data Science Instructor Associate Resume Examples & Samples

Work closely with one or more Lead Instructors to guide students through a rigorous, transformational journey towards apprenticeship in software development
Become a better teacher, leader, and mentor as you learn from veteran instructors and our world-class instructional coaches
Adapt our global curriculum and use it to guide your teaching, building your own lesson plans as needed and contributing back your lessons learned over time
Facilitate a safe, supportive, and energetic community that welcomes the various needs and learning styles of your students
You are eager to shape the skills, minds, and careers of the newest generation of data scientists
You are eager to teach in an online environment
Ensure that students meet graduation requirements
Ongoing student communication around course progress
Homework support and grading feedback
Assist Lead Instructors in lesson planning and creation

240

Stagiaire Data Science h/f Resume Examples & Samples

As part of HP Supply chain team, the person will participate to the development of a best in class Supply Chain analytics engine
In collaboration with other HP data scientist, the person will be responsible to develop statistical and machine learning models that support key supply chain processes related
Bachelor of Science or Master of Science in a quantitative field: econometrics, physics, statistics, computer science, applied mathematics or engineering
Good programming skills in SQL, SAS/R , Python
Statistical Analysis (Predictive Modelling, Clustering, Hypothesis testing) and Data Mining
Good understanding of Big Data framework ( Vertica,Hadoop, Spark, Hive)
Accountable to break a complex problem into its component parts and figure out the appropriate work-plan to reach a solution in collaboration with all stakeholders
Prepare business decision with the ability to process and analyze complex data sets, interpret them and recommend actions
Ability to clearly communicate complex quantitative analysis in actionable insights
Perform statistical analyses on large data sets to provide actionable insight to the supply chain team
Familiar with machine learning algorithm ( clustering, time serie analysis, a priori analysis)
Ability to link and combine distinctive data sets to discover new insights
Use tools like DSS (Dataiku), Vertica, R, SAS, Python, QlikView, Tableau

241

Data Science Team Leader Resume Examples & Samples

Grow and enhance Advanced Analytics/Data Science activities in Russia
Utilize a range of analytics and statistical tools and technologies, including open source, to deliver innovative analytic solutions to our customers
Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as required
Capture knowledge and IP, documenting analytical use-cases and the benefits that were realized, to share this expert knowledge with the wider, global Teradata team and enable similar solutions to be deployed more widely
Manage team members effectively, including performance appraisals, objective setting, career development, placement on engagements, time and expense approval,retention, and issue resolution
Demonstrate a practiced interest in, and good understanding of, “big data” technology and the business trends that are driving the adoption of this technology
Expertise in writing and optimising SQL
Experience in using other analytical tools like SPSS, MATLAB, or STATA. Soft Skills
Intellectually curious and hold a creative approach to problem solving. Excellent written and oral communication skills in German and English
Seasoned presenter in front of large audiences; capable to present up to C-level
Eager to learn; develop expertise in areas outside of core comfort zone
Must be passionate, self-motivated, results driven, and able to work with minimum supervision

242

Head of Data Science Resume Examples & Samples

You will be expected to build advanced data science capability
You and your team will develop new growth opportunities by analysing patterns in vast collections of existing & new data sources, generate insight that shapes and informs key strategic and business decisions and inspire stakeholders with algorithmic solutions of complex business problems
We are looking for an individual who is passionate about & has real world experience of Machine Learning and Data Science methods, in particular the applications in various aspects of decision optimisation and have applied these techniques into BAU business processes and tools
You should be able to demonstrate commercial acumen to explore business growth/optimisation opportunities and will have to present your strategies simply and effectively to senior management and key stakeholders, and see them all the way through to implementation

243

Icloud Data Science Software Engineer Resume Examples & Samples

5+ plus years software engineering experience & responsibilities.Designing, implementing and supporting applications
Performing big data analytics on massive datasets.Multithreaded and event-driven programming.Common web services protocols (HTTP, SSL, REST)
Hadoop Ecosystem (hadoop, pig, hive, cascading, crunch, scrunch, spark)
Ability to thrive in a cross-functional team on high profile critical projects

244

Data Science Specialist Resume Examples & Samples

Master's or Ph.D. (Computer Science, Statistics, Engineering, Physics, Mathematics, Economics)
Minimum of 1 year statistical and other tools/languages (SAS, C, C++, Java, Python)
Minimum of 1 year programming experience (C, C++, Java, SAS, Python)

245

Data Science / Developer Intern Resume Examples & Samples

Work in an agile development environment. Constantly shipping and iterating
Build amazing products. Removing the complexity and making them extremely easy to use
Collaborate with a cross-functional team of Product Owners, Designers, Developers, Engineers, and Operations
Apply practices such as Test Driven Development and Continuous Integration and Deployment to deliver early and often
Contribute in Open Source projects and give back to the community
Use bleeding edge Open Source technologies to innovate and set the pace on the Online Presence market

246

Group Director, IT Data Science Resume Examples & Samples

Develop and maintain three-year technical roadmap for data, reporting and analytics capabilities that supports CCNA strategic business priorities. Measure and steward progress and value achieved
Effectively deliver multiple, large-scale projects in CCNA to support implementation of business intelligence, data and analytics capabilities and solutions. Effectively manages demand and capacity to deliver against highest value business priorities. Implement agile program/project management policies, standards, and procedures to ensure consistent and transparent execution across the portfolio. Provide detailed, accurate and timely updates on current activities to all stakeholders including CCNA CIO and business executives
Effectively manage the ongoing support of BI, master data, decision support solutions/products used by CCNA. Track and report service SLAs. Partners with the broader IT support organization to ensure effective support of global solutions used by CCNA
Leads team responsible for the creation of master data books of record and governs deployment of standard master data in destination solutions
Effectively manage partners in the development, delivery, and support of technical solutions. Enforce governance and controls framework within CCNA IT. Simultaneously attain continuous improvements in service delivery and cost effectiveness
Align products and solutions with overall IT architecture standards and frameworks. Actively share best practices and promotes re-use of solutions globally across the Coca-Cola System, where applicable
Stay current and provides thought leadership to business and IT relative to data and analytics solutions and translates this knowledge into business value
Continuously raise the caliber of talent within the team. Serves as a coach and mentor within the organization and provides career coaching and direction. Model a culture that improves the organization’s comfort with the speed of change, challenging assumptions, relentless pursuit of improvement – all with a high sense of personal accountability
Effectively manage baseline and project budgets for the team
Serves as a member of the CCNA IT leadership team and supports overall goals and objectives of CCNA IT
Ability to partner with business to develop a strategic vision and capability roadmap, enabled by technology, for decision support and master data
World-class program & project planning and execution: ability to effectively plan and manage the delivery of multiple complex and large scale solution development initiatives (>$10 MM) across different functional/technical areas
10+ years of experience in IT management and large-scale solution delivery
Comfortable and confident when speaking with clients as a business partner and technical expert and able to translate technical concepts into simple terminology for business client of various levels
Excellent problem solving skills, including the ability to analyze situations, identify existing or potential problems, and recommend sound conclusions and implementation strategies
Team player with the ability to multi-task in a fast-paced dynamic environment
Experience and passion to work in a fast-paced Agile environment, delivering functional features in small time durations
Experience in designing, developing, testing and deploying applications/systems using agile methodologies and automation tool sets
Passionate about identifying and solving problems for customers with the ability to uncover business needs through direct interaction as well as quantitative or qualitative research to define compelling solutions
Ability to communicate with architects regarding technical design trade-offs including platforms, frameworks, scalability and performance
Proven ability to manage complex processes and drive continuous process improvement
Foster a metrics-driven culture to drive accountability and transparency
Self-starter, self-confident and assured in personal abilities
Business acumen and ability to
Project management certifications
Consulting experience
Experience with ERP systems like SAP and CRM’s like Salesforce.com
Experience in CloudCraze ecommerce Solution
Continuous Integration/Delivery experience

247

Data Science Resume Examples & Samples

Work alongside engineering teams to design and analyze experiments
Build decision support systems to illustrate and optimize complex tradeoffs among diverse business metrics
Provide analysis using mathematical modeling tools to improve business processes and decisions
Define creative solutions to business problems using advanced mathematical algorithms
Work independently, as well as in collaboration with other data scientists
M.S. or Ph.D. degree in Computer Science, Statistics, or other quantitative discipline
Knowledge of underlying mathematical foundations of statistics and optimization
Ability to work effectively both independently and as a member of a small group
Experience driving research and development
Experience communicating with both technical and business people. Ability to speak at a level appropriate for the audience
Ability to develop statistical analysis software in R or python
Experience designing A/B experiments
Experience applying discrete and/or stochastic optimization methods to business problems
Experience with reporting-based software (e.g. Shiny) a plus

248

Director of Data Science Resume Examples & Samples

Provide overall leadership for analytical and modeling projects
Understand complex business challenges in different areas (underwriting, pricing, loss prevention, customer retention, claims and fraud) and design practical and scalable analytics solutions where applicable
Design data warehouse and technical solutions together with technology team to facilitate fast and efficient manipulation of large volume of data for analytics purposes
Guide and supervise a team of data scientists to build predictive models using cutting edge machine learning or statistical modeling techniques
Communicate analytics results to business leaders and cultivate a data-driven decision process
Maintain and update standards to assess and document modeling process and performance
Mentor junior team members and create training and growth opportunities
Deep understanding of modern machine learning and statistical modeling techniques, e.g. GLM, GAM, decision trees, random forest, SVM, deep learning, GBM, clustering, Bayesian averaging
Expert level skills in one or more modeling/machine learning languages such as Python, R
Proven track records leading or working within a successful team in analytics and predictive modeling
Excellent communication skills. In particularly, the ability to explain complex analytical solutions to non-technical audience
Capability to work within a large matrix organization with many stake holders around the globe and the ability to lead and influence decisions
10+ years of experience in data science, analytics, or related areas (will be flexed for exceptional candidates)
Experience building web applications a plus
Experience in automation: Vagrant, Chef, Docker or similar
Familiarity with common computing environment (e.g. Linux, Shell Scripting)
Contributions to open-source projects a plus

249

Associate Director of Data Science Resume Examples & Samples

Provide technical leadership for analytics and modeling projects
Manipulate large volume of data using modern big data tools to construct data sets for modeling and analysis
Build predictive models using cutting edge machine learning or statistical modeling techniques
Work closely with business and technology teams in project planning, incorporate their insights to improve model outputs, and determine constraints for practical implementation
Synthesize insights from analytics and modeling projects and present the results to technical and non-technical audience
Assess and make sure that projects have sufficient resource and talent support, identify key steps, milestones and deliverables, develop and maintain a reasonable timeline
Assist in developing standards to assess and document modeling process and performance
Mentor junior team members, advance own and others’ technical skills
Advanced degree (PhD preferred) in one or more quantitative fields, e.g. computer science, physics, math, statistics, economics, computational linguistics
Strong expertise in one or more modeling/machine learning languages such as Python, R
Expertise in SQL
Master one or more of modern machine learning and statistical modeling techniques, e.g. GLM, GAM, decision trees, random forest, SVM, deep learning, GBM, clustering, Bayesian averaging
Hands on experience manipulating large volume data in modern big data environment, e.g. Hadoop, Spark, Hive, etc
Result-oriented and strong execution
7+ years of experience in data science, analytics, or related areas (will be flexed for exceptional candidates)
Experience and knowledge in the insurance industry: property and casualty, individual travel, group health and accident, warranty and services
Proficient programming skills in one or more of these languages or equivalent: C++, C#, Java, PHP, Scala, Ruby
Hands-on cloud architecture experience, AWS experience a plus

250

Commercial Data Science Officer Resume Examples & Samples

Manage the day-to-day work of the Data Science team, ensuring that projects achieve appropriate milestones and that status and results are communicated to the business partners in a clear concise fashion
Ensure models are properly implemented with the highest level of “buy in” from internal customers. This would include supporting work such as, customer pricing dislocation analysis, compliance challenges, communication materials, and monitoring plans
Pioneer new research methodologies, expand our analytical tools and increase our use of new data sources to capture opportunities for business growth
Ensure continuous improvement and innovation; see that our tools and capabilities use the newest technologies available. Improve our timelines in terms of speed to market. Always be looking for additional external sources of data and additional variables that can upgrade our existing toolkit
Partner with business customers and other thought leaders to identify research and/or business opportunities that the data science team can support and help develop
Be a strategic thought partner with the businesses, helping to advance our overall strategic goals by identifying supporting data science projects / opportunities that may pay dividends in the long term
Oversee, develop and train staff and consultants. Provide direction and assistance on an ongoing basis to ensure group has knowledge and technical experience to execute against stated agenda
10-15+ years of experience in a data and analytics function; strong knowledge of processes and data; 5+ years in a leadership role; industry experience in Insurance, Financial Services or related fields is preferred
Extensive experience with predictive modeling including knowledge of statistical theory (regression and multivariate statistics) and data mining techniques
Strong working knowledge of data at all levels of the data paradigm
Demonstrated track record of executing change to core business processes through the innovative use of quantitative techniques
Strong business acumen, demonstrating the ability to connect strategic concepts to specific value-creating business initiatives
A student of the industry and marketplace. Able to grasp the fundamental concepts that define business success
Curious and visionary; a continuous learner who seeks greater insights and is able to integrate ideas from other markets to accelerate our business model
Innovative. Excited by new approaches that will help to exploit market opportunities, successfully differentiate The Hartford and increase speed to market
Works consultatively with business partners to scope projects and provide innovative solutions to problems; able to manage and influence change
Strong leadership and management skills directing a team, setting priorities and plans to meet business goals and objectives
Experience managing technical personnel in project based environment
Very strong communication skills and in particular, strong technical writing skills
Must be best practice driven and able to drive new methodologies into organization
Responsive to service needs and operational demands
Knowledge and understanding of current and emerging Predictive Modeling, Business Intelligence and Big Data tools, platforms and technologies

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