Analytics Data Scientist Resume Samples

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T Schmitt

Talon

Schmitt

88981 Linnie Point

Los Angeles

+1 (555) 843 1880

88981 Linnie Point

Los Angeles

Phone

p +1 (555) 843 1880

Experience Experience

San Francisco, CA

Advisory Analytics Data Scientist

San Francisco, CA

Dibbert and Sons

San Francisco, CA

Advisory Analytics Data Scientist

Data analysis workflow using tools
To create and capture opportunities to advance your career and fulfill your potential. To learn more, visit us at www.pwc.com/careers
E.g., Python, Java, Go, Perl, other special purpose languages
Large scale data processing tools
E.g., SQL, bash scripting
Computer programing with any of the following focus: statistical/mathematical languages
Machine learning/predictive modeling, natural language processing, statistical analysis, simulation modeling, graph analysis

Detroit, MI

Provider Analytics Data Scientist

Detroit, MI

Lueilwitz Inc

Detroit, MI

Provider Analytics Data Scientist

Develop predictive models to identify operational gaps, drive process improvement and identify business opportunities
Become a subject matter expert in Provider related data and processes
Leverage clinical knowledge/expertise to develop analytical constructs based on addressing business challenges
Develop analytical constructs based on addressing business challenges
Develop and maintain productive relationships within the enterprise business and analytic communities
Develop test designs for campaigns and communications
Develop processes and criteria for analyzing and summarizing data

present

Houston, TX

Advisory Manager Cybersecurity Analytics Data Scientist

Houston, TX

Lesch-Harvey

present

Houston, TX

Advisory Manager Cybersecurity Analytics Data Scientist

present

Cultivate and manage business development opportunities
Develop and maintain long-term client relationships and networks
Manage expectations of delivery center service delivery
Monitor progress, manage risk and ensure key stakeholders are kept informed about progress and expected outcomes
Foster an innovative and inclusive team-oriented work environment
Drive high-quality work products within expected timeframes and on budget
Play an active role in counseling and mentoring junior consultants within the organization

Education Education

Bachelor’s Degree in Computer Science

Johnson & Wales University

Bachelor’s Degree in Computer Science

Skills Skills

PhD or PhD completion in the next 6 months – plant or animal breeding, statistical genetics, statistics, data science, biostatistics or mathematics or closely related field
Proficient in either machine learning algorithms and concepts (ensembles, deep learning, SVM, etc.) or advanced breeding and genomic selection concepts and models (gBLUP, GWAS, nonlinear models and longitudinal data, Bayesian methods, etc.)
Proven ability to communicate complex qualitative analysis in clear, precise and actionable manner
Experience with simulation and optimization algorithms is highly desired
Ability to work in a matrix environment, leading and influencing people at varying levels of responsibility
Strong organizational, interpersonal, and proven problem solving abilities
Strong publication record in leading scientific journals
Demonstrate computational skills and experience with R or other statistical & mathematical programming packages
Experience and passion for solving analytical problems involving big data sets using quantitative approaches
2+ years of Scala experience

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15 Analytics Data Scientist resume templates

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Manager, Data Analytics / Data Scientist Resume Examples & Samples

Integrate and mine large data sets, connecting data from disparate sources to identify insights and patterns using traditional as well as predictive and prescriptive analytics. Source, scrub, and join relevant public, commercial, and proprietary data sources
Conduct intermediate statistical analysis, such as linear regression, ANOVA, time-series analysis, and classification models
With guidance, perform advanced statistical analysis, such as development of production-ready algorithms, neural networks, decision trees, as well as analysis of unstructured data (e.g., social media listening, digital footprints, speech analytics)
Prepare and present complex written and verbal reports and presentations to key stakeholders
Apply knowledge of Prudentials U.S. businesses and corporate groups and relevant industry knowledge to analysis and insights, with a focus on what it means and actions to consider
Oversee project planning, vendor management, and key stakeholder relationships on a project-by-project basis
Manage project plans, timelines, and vendor relationships to ensure projects are delivered with the highest quality, on time and within budget
Advanced degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline, plus a minimum of 5 years of relevant work experience in data analytics, market research, customer knowledge, or consulting
Experience analyzing large data sets using statistical software, such as SPSS, SAS, or R, applying a variety of statistical techniques such as regression, discriminant analysis, cluster analysis, CART, and CHAID segmentation
Excel and PowerPoint a must. Programming experience strongly desired
Prior experience with building custom statistical models, analyzing unstructured data, and/or machine learning highly desirable
Prior academic and work experience in Statistics, with exposure to data structures and data visualization
Well developed written and oral communication skills, with ability to present and explain data to business managers

Business Modeling & Analytics Data Scientist Resume Examples & Samples

Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems
Generate deep insights through the analysis of data and understanding of operational processes and turn them into actionable recommendations
Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance
December 2014/Spring 2015 graduation, M.S. or Ph.D., minimum GPA 3.0
Deep quantitative/programming background with a degree in Statistics, Engineering, Computer Science, Mathematics, Economics
Some practical experience, internships or co-ops in an analytics discipline
Outstanding technical skills
Strong working knowledge of statistics, computer science and programming
Expertise in at least one of the following: SAS, SQL, R, Python
Enjoys analyzing data and writing code
Superior Analytical Skills
Has an “engineering mindset”
Able to translate ambiguous business problems into a conceptual mathematical architecture
Passionate about continuous learning and professional development
Deeply curious; creative and imaginative
Ability to influence and become a trusted advisor
Effective communication and presentation skills
Able to effectively navigate an occasionally ambiguous, semi-structured work environment

Clinical Analytics Data Scientist Resume Examples & Samples

Work with large scale unstructured data and fuse them with other enterprise data sources (such as claims, demographics) to predict, quantify, and/or forecast various business/health metrics
Collaborate with IT, operation and business teams to provide expertise and assistance in implementing new model results or enhancements to ongoing business processes
Develop methodologies to predict, quantify, and/or forecast various business/health metrics
Master’s Degree in Computer Science, Engineering, Informatics, Statistics or a related field
Experience building and maintaining large and dynamic analytic data sets
Proficient in programming languages such as PL-SQL, SAS, Matlab, or R
Excellent time and project management skills with ability to manage multiple projects/tasks simultaneously in a fast-paced environment
Ability to collaborate independently with subject matter experts and end users
Reliable, accountable & self-motivated with the ability to research possibilities and make a decision
PhD Degree with a focus on Healthcare, Predictive Modeling and/or Analytics
Experience with large unstructured healthcare data
Extensive knowledge of provider, member, claims, and service fund data
5 - 10 years of experience performing analytics, software and/or application development, testing, data base management, and/or data warehousing
Prior experience in producing business and technical documentation or training materials
Prior experience in health insurance preferred, with working knowledge of IT methodologies and terminology

Watson Analytics Data Scientist Resume Examples & Samples

M.S. or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, or other related disciplines
The proven ability to define and recommend algorithms, software technologies, and software components that achieve a high level of innovation, competitive advantage, and customer satisfaction
Demonstrated use of commercial software for data analysis
Proven ability to engage with clients to understand their business needs, data, and use cases
Proven ability to design and prepare data needed for analysis, applying statistical knowledge and strong business acumen, to translate business objectives into actionable analyses with independent execution
Proven ability to present technical information and data in a logical, concise manner, as well as communicate the results of analyses clearly to both technical and non-technical audiences
Demonstrated ability to work alongside a multidisciplinary team of statisticians, developers, designers, testers, and business and marketing professionals to innovate and improve IBM software
Proven ability to be self-motivated and work independently to learn, meet deadlines, and demonstrate analytical and reasoning capabilities to solve fairly complex business and data problems

IBM Analytics Data Scientist Resume Examples & Samples

Establish a clear direction for individual projects based on technical leverage points, the global environment and customer needs
Gather, examine and analyze large sets of data from multiple sources in order to define features for data manipulation and predictive model development
Apply various statistical and machine learning techniques to develop segmentations, association analysis, predictive models, etc
Evaluate model output and derive actionable business insights
Interact with external and internal customers to enhance satisfaction and improve IBM's financial performance by addressing customer-specific challenges, identifying new opportunities for data analytics
Make decisions to align the contributions of others to achieve greater impact, strengthen efforts and increase the team's impact
Initiate new technical programs, establishing schedules and milestones
Initiate and encourage organizational change, consolidations and processes to enhance effectiveness

Marketing Analytics Data Scientist Resume Examples & Samples

Design optimization algorithms, develop and deploy new analytical tools as required
Leverage large-scale, multiple data sources and structures and analyze large, complex data sets
Synthesize data into succinct presentations that aid in senior management decision making

Advanced Analytics Data Scientist Resume Examples & Samples

At least 1 year experience in determining mathematical approaches to solve problems, sampling plan and gathering/analyzing/portraying data
At least 1 year experience designing/building/managing solutions utilizing for example ILOG CPlex, Python, Standard Query Language (SQL), Arena, Statistical Analysis System (SAS), Statistical Package Social Sciences (SPSS), R or other vendors
At least 1 year experience in statistical analysis and deploying the results of the analysis
At least 1 year experience in data collection/survey
At least 1 year experience in data mining/text mining
English: Basic Knowledge
At least 3 years experience in determining mathematical approaches to solve problems, sampling plan and gathering/analyzing/portraying data
At least 3 years experience in statistical analysis and deploying the results of the analysis

Advanced Analytics Data Scientist Resume Examples & Samples

At least 3 years experience in demand planning functions creating a consensus demand forecast
At least 3 years experience and expertise using a blend of historical demand forecasting methods and insights to build demand plans that provide the basis for financial budgets, inventory plans, warehouse plans, transportation design and sourcing negotiations
Experience using Microsoft Excel/Access for data analytics
Proven communication and organization skills
Experience working in a cross-cultural environment
Experience using SPSS
Experience in the healthcare commodities industry
Experience supporting Africa, Asia and Latin America regions

Analytics Data Scientist Resume Examples & Samples

Consulting and analytics background to deliver analytics projects
Excellent working knowledge in SPSS, Python, R or SAS
Expertise in varied statistical techniques, regression and multivariate methods
Hands on experience in data mining and machine learning methods like SVM, Regression Modelling, Survival Modelling, Time Series Modelling, Market Basket Analysis, CART, Artificial Neural Networks
Experience leading offshore delivery teams
Excellent presentation, leadership and client facing skills are a must
Good to have : track record of thought leasdership in advanc analytics, understanding of Big Data Platforms (eg. Hadoop) and visualization tools (eg. Cognos), experience with Agile delivery methodology

Federal Mission Analytics Data Scientist Resume Examples & Samples

Conditional Random Fields
Gaussian Process
Gradient Boosted Trees
Elasticsearch
Hidden Markov Models
Hierarchical Clustering
Information Retrieval Algorithms
K-Means
K Nearest Neighbors
Kalman Filter
Latent Dirichlet Allocation
Latent Semantic Indexing
Linear Regression
Logistic Regression
Markov Process
Maximum Entropy Markov Models
Mixture Models
Monte Carlo Simulation
Multinomial Logistic Regression
Neural Networks
Random Forests
Random Walk
Restricted Boltzmann Machine
Smith-Waterman Alignment
SVD, A-SVD, SVD++, HOSVD
SVM, one class-SVM
Spectral Clustering
TF-IDF scoring
Vector Space Model
5+ years of experience with the following
Strong analytical skills (use of Microsoft Excel, Macros and/or Access to analyze data)
Strong presentation development and writing skills (e.g., proficient in Microsoft PowerPoint and Word)
Ability to facilitate client meetings and workshops to define client processes and needs
Ability to lead small teams to complete a project
Strong written and oral skills required
Experience in one of the following areas: Statistical Analysis, Strategic Management, or Data Analysis/Reporting
Big Data Analytics Experience
JAVA minimum, SCALA a +
Bachelor's Degree in Business, Economics, Mathematics, Psychology (I/O Psychology, Sociology, Information Technology, or Hard Sciences with a focus on research and analysis

Advanced Analytics Data Scientist Resume Examples & Samples

At least 2 years experience in identifying, gathering and analyzing complex multi-dimensional datasets utilizing a variety of tools
At least 2 years experience in determining mathematical or other approaches to solve problems develop sampling plans and gather/analyze/portray data
At least 2 years experience using SAS, SAS macros, and interacting with database and Excel
At least 1 year of experience performing data analysis in database using SQL
At least 4 years experience in identifying, gathering and analyzing complex multi-dimensional datasets utilizing a variety of tools
At least 4 years experience in determining mathematical or other approaches to solve problems develop sampling plans and gather/analyze/portray data
At least 4 years experience using SAS, SAS macros, and interacting with database and Excel
At least 2 years of experience performing data analysis in database using SQL

Global Service Data & Analytics Data Scientist Resume Examples & Samples

Identify data sets required to develop predictive models for identifying
Explore data sets and identify data transformation and data quality needs for targeted applications
Develop algorithms and predictive models to derive insights and business value from data
Test and validate algorithms and models using statistical and other techniques
Effectively communicate technical analyses and results to business management
Work with the engineering teams in Global Service and other groups (ITPE, GE Digital, etc.) to advise on execution of a roadmap for a Service Data Platform
Protect the Intellectual Property rights of the company
Work with technical teams in application and deployment of data mining methods
Perform exploratory, and targeted data analyses
Ensure proper definition of data needs, evaluation of data quality, and critique appropriate statistical analyses; for critical projects, perform needed analyses
Ensure proper definition of data needs, evaluation of data quality, and critique appropriate statistical analyses
Bachelor’s Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math)
Minimum 2-4 years of data science experience
Practical understanding of the Data modeling concepts
Expertise in one or more analytics software tools and packages e.g. Matlab, R, Python etc
Experience with SQL and one RDBMS product (Oracle, Teradata etc.)
Experience in software development and the software development lifecycle
Proven ability to create and maintain online and printed documentation
Able to simplify strategy into specific actions with clear accountability, make decisions with speed and accuracy based on best available information, and communicate priorities clearly and concisely
Extremely knowledgeable in data concepts and technologies
Experience with one BI visualization software (Spotfire, etc.)
Global mindset with ability to effectively work on/with distributed remote teams
Familiarity with IT Systems and software development
Strong communication skills with ability to communicate effectively / clearly at different levels in the organization
Ability to work well in team environment
Experience to apply theoretical knowledge to solve industrial problems
Experience with integrated Big Data programming environments and Competency in major analytics software packages and programming environments (e.g. Hadoop / Map-Reduce, Mahout; Python, R, Java etc

Manager, Marketing Analytics / Data Scientist Resume Examples & Samples

Learn and understand Thomson Reuters’ business strategy – our customers, products, competition and market position
Demonstrate thought leadership when understanding end-to-end business objective and developing appropriate analytical framework to facilitate achievement of objective
Analyze data from large, disparate datasets for insight extraction or use in the development of analytical framework
Develop and maintain strong relationships with business stakeholders
Develop visually compelling presentations that communicate the relevant insights to stakeholders in an easily consumable manner
Coordinate with others departments to develop, manage and execute programs based on analytic findings
Excellent analytical skills with demonstrated ability to solve problems
Strong understanding of various Statistical modeling and data analysis methodologies
Strong R or SAS programming experience
3+ years experience in an analytics, strategy consulting, database marketing, or other quantititive role
Strong oral and written communication and interpersonal skills to successfully build long-term relationships with colleagues and business partners
Business acumen and understanding of how analytics supports a large organization including being able to successfully articulate the linkage between business decisions, business objectives, and analytical approaches & findings
SQL programming knowledge
Experience in the financial services industry or business-to-business (B2B) organization
Experience with BI reporting tools such as Business Objects
Knowledge of visualization tools (e.g. Tableau)
Experience with CRM tools such as Salesforce.com

Advisory Analytics Data Scientist Resume Examples & Samples

Computer programing with any of the following focus: statistical/mathematical languages
E.g., Python, Java, Go, Perl, other special purpose languages
E.g., SQL, bash scripting
Machine learning/predictive modeling, natural language processing, statistical analysis, simulation modeling, graph analysis
Data analysis workflow using tools
E.g., git, iPython notebook; and,
Data visualization tools
Work collaboratively on teams with a variety of technical and non-technical skill sets
Compile and present complex information using data visualization tools
Collaborate and contribute as a team member: understand personal and team roles, contribute to a positive working environment by building solid relationships with team members, proactively seeking guidance, clarification and feedback
Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate effectively in written and verbal formats to various audiences
Including various levels of management and external clients
Understand how the application of analytical techniques correlated to business value
Be able to select the appropriate analytical techniques for the problem at hand

Text Analytics Data Scientist Resume Examples & Samples

Solicit requirements for text analytics/NLP models, including what data they will use and how the company will use them after they are built
Define the variables and their structure, and extract the data from our data warehouse and/or guide specialists to do so
Build predictive models that are accurate, robust, and informative in ways that help our business grow even faster
Teach our business teams what the models do, what the results mean, and how they improve decision-making
An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in business, programming, or science and significant experience with text analytics/Natural Language Processing
Successful project experience with NLP/text analytics, and working knowledge of how they can be used with methods like: regression, decision trees / random forests, Bayesian methods, neural networks/deep learning, support vector machines, associative rules methods, k-nearest neighbor, or HMM
Two or more years of experience in building predictive models, defining variables, variable selection, and measuring model quality
Expertise with scripting in R, SAS, Python, or similar tools; or either HANA PAL or HANA Application Function Libraries for predictive purposes
Special consideration for applicants experienced in using text analytics or Natural Language Processing as part of a wider scope, such as including NLP as a subset of other variables to predict a target variable
Skills in profiling data and model results for quality assurance and informational purposes
Special consideration for applicants with experience with the ServiceNow platform, with an IT background, or with Software-as-a-Service experience

Safety Analytics Data Scientist Resume Examples & Samples

Understand safety data and how to use it appropriately in data analysis
Apply best-in-class emerging issues methodologies for emerging issue identification
Perform analysis using industry leading text mining, data mining, and analytical tools
Develop innovative analytical approaches to root out, predict, and identify potential emerging issues through data analysis and reporting
Collaborate with Safety, Engineering, R&D, Quality and IT stakeholders to arrive at actionable insights
Must be willing to read some verbatim comments to understand essence of potential safety issues
Present emerging issues analysis findings to internal audiences by synthesizing complex data and concepts into easy-to comprehend, comprehensive, and cohesive presentations
Support development of ontology and taxonomy for safety issues to ensure text mining is comprehensive
Provide feedback to solutions support team to provide and enhance best-in-class analysis tools
5+ years of work experience in Analytics or Business Intelligence
Understanding of vehicle safety technologies including design intent, function and intended performance in the field
Highly proficient with one or more data mining / predictive modeling tools such as SAS, JMP, Python, R, or Watson as well as proficient in SQL
Highly skilled at visual displays of quantitative and qualitative information and experience with visualization tools such as Tableau
Experience with statistical modeling, text mining, and/or machine learning
Strong understanding and experience with predictive / analytical modeling techniques, theories, principles, and practices
Ability to effectively communicate results and methodologies; must be comfortable presenting to executive leadership
Willingness to learn new skills and methods as needed – continuous learning mindset
Must have strong drive for results
Master’s degree in Applied Statistics/Mathematics, Computer Science, Engineering, Operations Research or related field is highly preferred
Knowledge of GM IT systems and processes, especially in the areas of Engineering, Quality/Warranty, Customer Care and Aftersales, or OnStar
Working knowledge of safety standards and regulations
Experience with dealing with both structured and unstructured data

Expert Analytics Data Scientist Resume Examples & Samples

Develop Predictive Models using machine learning algorithms (XG Boost…) to answer the Business requirements and pain points
Use Case development addressing data mining problem under study
Analyze customer requirements, technology and Network
Develop technical presentations, proposals, and perform customer presentations
Provide feedback to R&D
Participate in knowledge transfer, documentation & information sharing
High degree in Statistics/Mathematics or CS specializing in Analytics
Practical Experience in developing Predictive Models, Data Mining (CRISP-DM…), Machine Learning, Text & Social Media Analytics etc
Advanced Analytical and statistical skills, data mining skills (including data auditing, aggregation, validation…) and data modelling techniques including model parameters calibration and optimization
Strong Presentation & Communication skills
Fair knowledge of EEA and its internal architecture
Team work & collaboration skills
Availability to travel 50% of the time
Advanced knowledge in Python, R, Java, Scala and Bash Scripting
Experienced in using various Analytics platforms including SAS, SAP, SPSS…
Advanced knowledge of Big Data Analytics
Basic understanding of Ericsson ARK framework
Good understanding of virtualization
Advanced knowledge in Hadoop ecosystem, HDFS (MapR), Zookeeper, Storm and Spark
Good knowledge in OLAP database (Green Plum or Drill) and RDBMS (Postgres)

Advisory Manager Cybersecurity Analytics Data Scientist Resume Examples & Samples

Review and triage potential areas of research to guide future areas of research
Drive high-quality work products within expected timeframes and on budget
Monitor progress, manage risk and ensure key stakeholders are kept informed about progress and expected outcomes
Manage expectations of delivery center service delivery
Research client inquiries and emerging issues, including regulations, industry practices, and new technologies
Cultivate and manage business development opportunities
Demonstrate in-depth technical capabilities and professional knowledge
Understand Ernst & Young and its service lines and actively assess/present ways to serve clients
Develop and maintain long-term client relationships and networks
Effectively manage and motivate engagement teams with diverse skills and backgrounds
Foster an innovative and inclusive team-oriented work environment
Play an active role in counseling and mentoring junior consultants within the organization
Develop relationships with team members across all EY practices to serve client needs
Bachelor’s degree and a minimum of 5 years of related work experience with a strong academic record in the fields of Computer Science, Statistics, Engineering, Machine Learning, or related major. Masters Degree or PhD preferred
Data Modeling experience
Multithreaded and/or cluster computing experience (e.g., SMP, MapReduce)
Experience developing tools for anomaly detection
Experience developing analytics for large data settings, and streaming data sets
Experience analyzing and solving problems of a complex nature
Deep knowledge of technical architecture design and have a good understanding of technology tools and components to reasonably argue for and against all components (middleware, database, reporting tools, etc.) in systems architecture
Computer security data experience (preferred)
Network data analysis (preferred)
A valid driver's license in the US and a valid passport required; flexible on occasional travel extended work hours to meet client needs

Analytics Data Scientist / Analyst Resume Examples & Samples

Experience with using R, Perl, Python, SAS, or SPSS for the analysis of data
Knowledge of an object–oriented language, including Java, C++, C#, or Python
Scheduled to obtain a BS degree in Winter 2016 or Spring 2017

Senior Engineer Advanced Analytics Data Scientist Resume Examples & Samples

Work with business unit subject matter experts and the Principal Data Scientist to identify, prioritize and answer important business questions through the development of innovative algorithms and visualizations using modern analytical techniques in Data Mining, Machine Learning and Statistics
Domain knowledge of a business area such as process or industrial engineering, development, manufacturing or supply chain
Thesis or research experience in topics related to predictive analytics such as data mining, pattern recognition, image processing, data-driven prognostics, fault diagnostics, artificial intelligence and machine learning

Learning & Development Measurement & Analytics Data Scientist Resume Examples & Samples

Advancing corporate learning measurement strategy
Designing research methods to evaluate a broad range of adult learning interventions in an effort to improve learner outcomes and optimize organizational performance
Identifying measurement requirements of learning programs, curriculums, and overall firm L&D strategy
Consulting on data collection techniques and systems
Managing data extraction, transformation, quality assurance, and cleaning processes
Analyzing and identifying meaningful trends in large complex data sets
Working with learning technologies including Learning Management Systems, content delivery platforms, Learning Record Stores, and relevant
Utilizing and applying quantitative, qualitative and mixed methods research design in the educational and organizational psychology sciences
Utilizing and applying data analysis tools (e.g., exploratory, data mining, regression/predictive techniques, multivariate, cluster, network analysis, etc.) and statistical software specialization into projects (e.g., R, SPSS, SAS, etc.)
Utilizing and applying computer programing skills as applied to data acquisition, analysis, reporting, and visualization (R, Python, JSON, SQL, d3.js)
Utilizing and applying data warehousing skills, ETL processes, structured relational databases, and the combining of disparate data sources
Utilizing business intelligence tools to develop reports, visualizations, and interactive web based dashboards (e.g., Microstrategy, visual insight dashboard, Qlik view, Tableau, d3.js, etc.)
Implementing xAPI across a complex learning technology ecosystem, partnering with stakeholders and instructional designers to optimize data capture to drive continuous improvement and learning effectiveness
Evaluating data quality and designing processes to identify and correct data quality issues
Coaching and developing junior team members; and,
Influencing stakeholders to take action based on data and drive continuous improvement of the L&D function

Analytics Data Scientist Resume Examples & Samples

PhD or PhD completion in the next 6 months – plant or animal breeding, statistical genetics, statistics, data science, biostatistics or mathematics or closely related field
Proficient in either machine learning algorithms and concepts (ensembles, deep learning, SVM, etc.) or advanced breeding and genomic selection concepts and models (gBLUP, GWAS, nonlinear models and longitudinal data, Bayesian methods, etc.)
Experience and passion for solving analytical problems involving big data sets using quantitative approaches
Demonstrate computational skills and experience with R or other statistical & mathematical programming packages
Strong publication record in leading scientific journals
Ability to work in a matrix environment, leading and influencing people at varying levels of responsibility
Proven ability to communicate complex qualitative analysis in clear, precise and actionable manner
Cloud operation experience – running real workloads in the cloud and diagnosing and fixing problems (AWS preferred)
2+ years of Scala experience
Experience with simulation and optimization algorithms is highly desired

Pricing Analytics Data Scientist Resume Examples & Samples

Identify and deploy the metrics and methodologies that will meet their risk and capital management needs
Solve practical business problems, applying the latest techniques and software solutions to help grow revenue and create competitive advantage
Foresee and avoid major losses, enhance risk-adjusted returns, and establish and meet strategic objectives
Undertaking substantial analytical work streams within large projects and providing day-to-day input to these projects, working with project leaders to determine overall priorities
Participating in regular interaction with clients, especially with analyst peers
Producing reports, summaries, graphics and other communications with a client focus and working to provide solutions rather than issues for senior project leaders
Working on a range of projects / internal responsibilities and managing priorities appropriately
Developing a profile within UK, European or global analytics initiatives, working to support the delivery of commercially important work stream(s) and viable analytical propositions
Recognising the importance of intellectual capital and working with others to develop and manage this appropriately
Leveraging knowledge through training, development and mentoring of other associates
Providing creative analytical solutions with innovative coding and machine learning techniques
Collaborating with a wide variety of people within the organisation in order to ensure best solutions to client needs (including with Insurance Management Consultancy, Underwriting, Reserving and Capital teams and EMEA offices)
Proactively identifying and implementing changes to client propositions
Minimum of MSc in a Quantitative subject (PhD Preferred), particularly focussed toward data science or machine learning analytics
Strong experience of R and Python coding
UK motor insurance analytics background an advantage but not essential
A passion for coding, data and analytics
An interest and aptitude for developing new ideas and techniques
Have "credibility" with both clients and internally
Work collaboratively with fellow associates both in the UK and more widely in EMEA
Demonstrate commitment to clients
Show commitment to exceptional delivery
Ability to write client deliverables / reports in a clear, concise and appropriate way
Proactive, energetic, and can demonstrate being a “safe pair of hands”
Experience of pricing for the UK personal lines insurance aggregator distribution channel, claims systems/processes, data enrichment, data hubs and IHP

Internship Marketing Analytics & Data Scientist Resume Examples & Samples

Bachelor or Master student in the ICT
Native Dutch and good English
Proficiency in programming language e.g. Python or R
Experience in user interface design
Affinity with visualizing data insights
Familiarity with Agile methods

Global Fraud Systems & Analytics Data Scientist Resume Examples & Samples

Taking ownership of Internal Fraud processes delivered by the Anti-Fraud Data Hub, including the generation of reports and Alerts via the Risk Scorecard, Supervisory Reporting and Trend Analysis processes
Providing support, information and training to supported Lines of Business and Product areas
Developing, production and dissemination of oversight MI to relevant personnel and Oversight Committees, including MI relating to both Alert and Case Management
Working in collaboration with business partners to deliver continuous enhancement initiatives, such as enhancing or increasing the range and scope of analytics supplied
Generating Alerts in a form that is suitable for the intended users through linking with current applications and systems
Performing sample-based reviews to determine the extent to which business personnel are fulfilling their responsibility as Alert Owners to Close or escalate Alerts as appropriate
Supporting the design and implementation of tactical and strategic business / technology solutions to enhance the Fraud detection and investigative program and transition to ‘run the bank&#8217
Supporting the development of business requirements to support fraud investigation and detection program needs and remediate control gaps
Working closely with appropriate project managers to drive the program and design robust fraud detection controls
Supporting the Global Strategy & Analytics Lead in Mandatory Time Away technical requirements, working in coordination with the project manager / Change Programme Manager assigned to Mandatory Time Away (MTA)
Developing and maintaining MTA guidelines for the business and transition MTA from project to Business as usual (BAU) mode
Supporting the management of requirements for AFBC case management tools, including Actimise, and ensure enhancements are routinely made to support business need, capture key information, and improve investigative efficiency
Liaising with Deutsche Bank Global Technology colleagues to support system related projects, in particular User Acceptance Testing and transition to run the bank
Producing Global MI reporting to outline key AFBC investigative trends in support of various governance initiatives; coordinating with regional teams to collect MI
Looking for automation opportunities where possible for both efficiency gains within the team and improvements in data quality
Supporting Product MI reporting to identify emerging fraud trends (i.e. via loss reporting or investigative statistics) to support fraud prevention initiatives
Collating MI/Reporting referrals of AFBC investigations to the IBOR PMO team; for monthly reporting to Global Head of AFBC
Escalate emerging issues to the Global Strategy & Analytics Lead and regional AFC colleagues as required
Building stakeholder relationships with Business Divisions, Infrastructure functions and AFC teams
Experience working in an Anti-Financial Crime Program and/or similar environment
Significant professional experience in Financial Services with a good understanding of core banking products, front-to-back processes and market / regulatory trends
Good technical skills and understanding of systems, with proven ability to learn new technologies
Working knowledge of Actimise and SAS solutions would be beneficial
Excellent communication skills, particularly strong verbal and writing capability
Strong analytical skills with ability to identify trends
Self-starter and action oriented
Strong data analytical skills and the ability to digest, organise and summarise large amounts of data, using advanced Microsoft Excel skills and other analytical and reporting solutions
Proven business analysis skills with appropriate, but pragmatic, end-to-end process and service level management skills applied with rigour and structure
Subject Matter Expertise (SME) experience in Fraud Prevention processes and systems would be beneficial
Artificial Intelligence knowledge/experience is beneficial

Talent Analytics Data Scientist Resume Examples & Samples

Undergraduate degree required (4 year)
Minimum of 2 – 3 years of applied experience in analytics and data mining
Knowledge of the professional services industry
Demonstrated accomplishments in the following areas

Business Analytics & Data Scientist Resume Examples & Samples

Be instrumental to move away from simple data reporting and to enable data intelligence
Take ownership of existing prototypes and tools (mainly in the Service area) for technical support, operations , maintenance and on-going evolution per business environment changes
Apply innovation to existing solutions to drive efficiency and optimization
Actively participate in design, development, documentation and deployment of new tools, initiatives and projects, building proof of concept aligned with customer needs
Build appropriate partnership and trusted relationship with stakeholders so that input we are dependent on are accurate and provided in a timely manner
Design & implement controls that always ensure tool reliability as well result accuracy
Use advanced database design and management knowledge to develop reporting solutions or data structures supporting business tools and data mining
Develop thorough understanding of business data and their underlying processes and apply Big Data analysis technics to transform data into information and actionable insight
SQL/MS SQL , PowerBi, R / Python / KNIME, Tableau, Python
Database Design and Management
Advance knowledge of MS office (Excel , Access)
MS SharePoint skills – basic web programming is a plus
Statistical knowledge would be a strong plus
Master degree in Computer Science , Engineering, Business Analysis or related field like statistics or equivalent work experience
4+ years in data handling and advanced analysis
Work experience in Global Corporation
Preferred Statistical technics Certified/Trained and/or Green Belt Six Sigma certified/Trained Work
Good track of record of smart business & data analysis in complex environment

Provider Analytics Data Scientist Resume Examples & Samples

Participate in dialogue with internal business partners to determine areas of opportunity where analytics can be leveraged to solve big problems
Develop and maintain productive relationships within the enterprise business and analytic communities
Develop analytical constructs based on addressing business challenges
Combine and analyze diverse types of data to extract fresh, actionable discoveries about our Providers, their behavior, and how they affect our administrative/medical cost
Develop predictive models to identify operational gaps, drive process improvement and identify business opportunities
Construct text and natural language processing analytics to identify business opportunities
Participate in developing/selecting new data sources and ensuring the quality and reliability of the data
Measure and communicate the effect of models in production
Develop test designs for campaigns and communications
Develop processes and criteria for analyzing and summarizing data
Translate analytical results into recommendations and present to our clients
Translate business problems/needs into technical and data specific terms
Leverage data to quantify business problems, identify likely causes, and recommend solutions
Leverage clinical knowledge/expertise to develop analytical constructs based on addressing business challenges
Become a subject matter expert in Provider related data and processes
Leverage business acumen, consulting skills, and an enterprise orientation
Research and leverage emerging industry trends, analytics technologies, and best practices
Experience influencing mixed teams, including clients and partners with both business and technical backgrounds (includes offshore development teams where applicable)
The ability to leverage technology (e.g. SQL, Python, SPSS) to extract, manipulate and analyze data from relational databases
Experience working within Hadoop environment
The ability to convert data into actionable information
Strong communication experience should include presentation/proposal generation, as well as an ability to interact effectively with people at all levels within a team or internal division
Stellar work ethic
Strong written and verbal communication skills for report writing and client presentations
MS degree (e.g., Biomedical Data Science, MPH, Epidemiology, Information Management, Business, Engineering) from a well-regarded university, or directly relevant experience in a quantitative discipline (e.g. mathematics, computer science, engineering, etc.)
3 or more years of data mining/analytics experience
3 or more years of clinically focused healthcare experience…looking for a solid intersection between life and quantitative sciences
Strong combination of conceptual and analytical capability
Knowledge of medical claims language
Knowledge of healthcare information technology
Knowledge of econometrics or epidemiology
Experience with health care data
Ability to work on a team and as an individual contributor
Well versed in business strategy, industry dynamics, organization design and innovation leadership models
Must have a strong track record of achievement

Lead Workforce Analytics / Data Scientist Resume Examples & Samples

Recommend optimal business strategies based on historical performance, predictive analytics and scenario based analysis
Measure and quantify the impact of key Talent initiatives and tell the story behind the statistics
Develop strong partnerships across the business to deliver complex messages and insights
Drive the Talent analytics agenda with the business
Demonstrate analytical and conceptual skills, including the capacity to think and act strategically
Application and adherence to People Data Governance and Data Privacy polices
Oversee the use and application of local data privacy and information security law across the EY organization
Autonomously lead a team of analytics professionals (on shore and off shore) who solve complex problems with analytics extracting actionable insights to inform business strategy
Identify and assign resources to projects form within direct reports, and across the HR Services function
Mentor team in discovery, modeling, presentation and communications to tell the story behind the statistics
Advanced knowledge and application of predictive modeling and statistical methods – such as R and/or SAS
Experience in forecasting and workforce management modeling, statistical analysis, human capital analytics, data and trend analysis
Advanced knowledge of Excel mandatory
Practical knowledge of SQL, JAVA, HTML, D3, Spotfire a plus

Training Analytics Data Scientist Resume Examples & Samples

Integrate and become a vital working member of the PEPS and Medical Research team in helping set priorities and strategies, and measurable objectives and performance
Deeply understand the customer training process (pre, during and post visiting our training facilities), the collection of training and related data, and the strengths and limitations of these data
With the larger PEPS and Medical Research team, and with others in the Analytics Community, work to build a data foundation to measure training pathway effectiveness and PEPS training effectiveness
Work deeply and creatively with a cross-functional team to completely revamp training data collection and reports sent to surgeons after they are trained at our training facilities
Identify gaps in data capture, help identify how those data can be best captured, and work with IT organization to ensure PEPS applications are instrumented with proper tracking mechanisms to enable analytics
Perform ad-hoc analytics requests, analyze test results, draws actionable insights and presents findings to management to determine and drive training strategy
Work with Intuitive Surgical’s Medical Research team to investigate advances in training methodology and scoring via analytics
Work with Intuitive Surgical’s Account Optimization team (Genesis) to identify account performance metrics and areas of optimization
Create and automate on-going analytical reports to sustain program quality and improve efficiency (may work with IT organization for automation)
Apply advanced statistical and predictive modeling techniques to measure customer training effectiveness, and link training effectiveness to post-training customer adoption of Intuitive Surgical’s technology
Interpret and present, with team members, statistical model results that lead to business insights, and present findings to management
Provide on-going tracking and monitoring of performance monitoring systems and operational statistical models
Incorporate disparate data sources that are potentially incomplete and in need of data cleansing
Collaborate with Sales, Sales Ops, Marketing, Finance and various other teams for cross domain analytics
Excellent communication skills, both oral and written, including strong presentation skills
Bachelor’s Degree in Mathematics, Statistics, Operations Research, Data Science or related field
3+ years of experience in similar role
Strong knowledge of data science concepts (predictive modeling, regression analysis, etc.). Good knowledge of statistical methods and applications. Ability to understand cohort analysis beyond “averages”
Experience working with diverse large data sets
Proficiency with programming and data mining/visualization tools such as HANA, SQL, R, SAS/JMP, SPSS and Tableau
Ability to extract and interpret data from various sources
Detail oriented, able to think analytically and use sound judgment, capable of building solutions and solving problems while displaying excellent critical thinking
Background in healthcare or familiarity with surgery is preferred but not required
Needs to have a strong interest in the healthcare area, specifically surgical and hospital space
Medical robotics has unique characteristics that will require immersion in clinical and technical training and coming up to speed quickly in these areas – an interest and desire to learn are a must
Strong organizational skills, ability to meet deadlines in a changing environment and perform multiple tasks effectively and concurrently. Self-management is important
Ability to build and manage relationships with both internal and external teams
Strong sense of customer service for both internal and external customers. Chooses team over self
Demonstration of initiative and creativity
Desire to make work fun

Enterprise Analytics Data Scientist Resume Examples & Samples

Lead cross sector teams working enterprise level analytics use cases to analyze data, identify/answer important questions, and deliver value for the company
Provide thought leadership and guidance to business leaders and other analytics teams
Communicate findings to various levels of management
Develop descriptive visuals to communicate results
Experience with statistics in both unsupervised and supervised learning techniques
Bachelor's degree with 2 years of relevant experience or master's degree and 0 years of experience
Proficient in any of the following Programming Languages: SQL, Python, Java, R
Experience with Machine learning Text Mining and Sentiment
Understanding of Hadoop Ecosystem and ability to program and develop applications
Experience with Pig , Hive, SOLR, SPARK
Bachelor's degree with 5 years of relevant experience or master's degree and 3 years of experience
Master's degree
Experience with SQL Server Analysis Services
Experience with Statistical Packages such as SPSS or SAS
Experience with Programming Languages - C#, ASP.Net, JSP, Servlets, VB.NET, VB6, HTML5, CSS, jQuery, JavaScript, XML, VBScript, OQL, UML, C++, familiar with C, XQuery, XPath, XSLT, PowerShell, Perl
A passion for problem solving using empirical research and for answering hard questions with data
Experience solving analytical problems using quantitative and qualitative approaches
Understanding and ability to integrate multiple systems and data sets
Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources