Data Manager / Data Scientist Resume Samples

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J Lehner

Jonas

Lehner

1670 McDermott Path

New York

+1 (555) 951 7390

1670 McDermott Path

New York

Phone

p +1 (555) 951 7390

Experience Experience

Philadelphia, PA

Manager, Data Scientist

Philadelphia, PA

Osinski LLC

Philadelphia, PA

Manager, Data Scientist

Work with digital stakeholders and managers to understand business objectives; create and maintain weekly and monthly reports for measuring performance
Assist in development of KPIs, automated interactive dashboards, and forecasting models
Manage data collection, data quality, and data blending
Proficiency in analyzing data from web analytics tools such as Google (or Adobe) Analytics
Proficiency in building, maintaining, and validating Excel reports and models
Conduct ad hoc and deep dive analyses to derive insights and recommendations related to digital trends and consumer behavior on various WWE digital assets
Highly Proficient in SQL

Chicago, IL

Data Scientist Snr Manager

Chicago, IL

Cormier, Upton and Koelpin

Chicago, IL

Data Scientist Snr Manager

Being agile in a non-agile software development environment: setting your own deadlines and providing project status updates when necessary
Make solid prioritizations for your work to meet project objectives
Identifying opportunities for improvement within existing software applications and frameworks
Demonstrated machine learning knowledge either through work or independent research/machine learning contests
Fan of not inventing the wheel by utilizing and improving open source solutions to complex problems (Luigi, scikit-learn, Docker, Mesos, Packer, Puppet, TensorFlow, etc.)
This role manages a support team of India-based CPG Client Analytics Support (CPGCAS) Analysts, and is the primary management point of contact for the U.S.-based CPG Client Analytics team. The Team Lead will be responsible for
Discover and define data sources (structured and unstructured) and develop reproducible processes for extraction of relevant data

present

Dallas, TX

Senior Manager, Data Scientist

Dallas, TX

White-Wehner

present

Dallas, TX

Senior Manager, Data Scientist

present

Perform data sourcing, data mining, as well as model development & validation
Lead projects, monitor trends, provide recommendations and work with cross functional business units as well as senior leadership
Providing ongoing tracking and monitoring of the performance of decision systems and statistical models
Knowledge of inventory management, merchandising, pricing, supply chain management and optimization principles and concepts
Manage projects or part of larger initiatives, including project management, analysis, etc
Synthesize findings, prepare presentations and assist in presenting findings to all levels of management
Understand the business problem, identify the key challenges, formulate the machine learning problem and provide/prototype solutions

Education Education

Bachelor’s Degree in Latitude

Arizona State University

Bachelor’s Degree in Latitude

Skills Skills

Ability to work both at a detail level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change
Strong project management skills, and technical knowledge of SAS, Tableau, Microstrategy, R, and Big Data tools and technology
Knowledge of SAS, R, Python, Hadoop, Tableau, Spotfire, Access, Excel, Word, and PowerPoint
Excellent communication skills (both oral and written), with the ability to communicate across multiple functions and levels
A solid people manager, with strong interpersonal skills
An advanced knowledge about business in general and seasoned, in-depth, multi-dimensional knowledge of industry and company economics
Experience working for retailers, consulting to retailers is highly desirable
Inventory management, pricing experience is highly desirable
Ability to analyze and interpret complex concepts
Ability to collaborate with cross-functional teams and work independently with minimal supervision

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Senior Manager Data Scientist Resume Examples & Samples

Use scientific methods to design and develop algorithms to optimize profitability of Gap Inc. investment in inventory
Responsible for designing and implementing algorithms employing novel tools & techniques that leverage recent advances in the science, and incorporating signals from broader customer activities including Online behavior in the domain of demand planning, PO sizing & packing, initial allocation and replenishment, customer order fulfillment optimization etc
Work with Business teams to understand important business requirements that will impact the design and development of proposed algorithms
Work within a team of other data scientists to develop prototypes of the algorithm to validate assumptions and outcomes
Ensure that algorithms developed are able to scale to meet enterprise needs across all brands
Identify suitable test cases to prove the algorithms’ ability to handle boundary conditions
Understand the data requirements and scale of the data that is required for each algorithm and the impact this has on the proposed algorithm
Understand the complexities and intricacies of multiple brands & channels and ensure that the proposed algorithms would work satisfactorily across all portfolio brands
Actively engage with the business partners to fully understand the business requirements and translate into appropriate models
In some cases, work with inventory Management Product Management and IT teams to develop scalable solutions using developed algorithms
In some cases, work with key developers within the IT teams to transfer knowledge for incorporating the algorithms into enterprise class solutions
Work with business and implementation teams to develop appropriate level of documentation to train end users on the new algorithms
Validate Scientific Methodology of Acquired Solutions; develop specific test cases where the vendor proposed solutions may not work very well; work with Inventory Strategy and Product Management teams to surface requirements for improving the algorithm used in the vendor’s solution
Minimum educational level: M.S in Operations Research, Statistics, Industrial Engineering, with strong quantitative and software development skills
Minimum experience: 5+ years (2+ years if PhD) designing and developing algorithms to solve demand planning and inventory optimization problems in retail software or the retail industry
Proven ability to execute with extreme speed and a high degree of accuracy in a proof of concept environment
In-depth experience and expert knowledge of statistical software (such as SAS, R, Matlab) and machine learning packages (Mahout, Weka, SVM libraries)
Background in big data analytics using Hadoop and MapReduce paradigms is highly desirable
Should be able to communicate complex algorithm logic and analytical results with clarity to both technical and non-technical audiences
Demonstrated ability to take initiative and work independently with minimal supervision

Senior Manager, Data Scientist Resume Examples & Samples

Provide quantitative research, modeling, analysis and support for identifying business opportunities/issues and form hypotheses
Synthesize findings, prepare presentations and assist in presenting findings to all levels of management
Create revenue, inventory, price optimization models
Provide assistance needed to implement the recommendations
Identify and track the metrics to measure the success of a specific business opportunity
Manage projects or part of larger initiatives, including project management, analysis, etc
1) Knowledge, skills & abilities
Proven ability to develop and apply analytic solutions to solve business problems
Ability to work both at a detail level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change
Experience developing short and long term visions for solutions that have significant business impact
Demonstrated examples of working with business partners to deliver a solution that met objectives
Knowledge of inventory management, merchandising, pricing, supply chain management and optimization principles and concepts
Experience developing and working with inventory optimization, pricing and forecasting approaches for retail software or the retail industry
Ability to collaborate with cross-functional teams and work independently with minimal supervision
2) Minimum educational level
PhD in Operations Research, Industrial Engineering or Management Science required
5+ yrs. of professional experience
Hands-on experience with data analysis, statistical, optimization and simulation packages (SQL, MATLAB, SAS etc) is must
Inventory management, pricing experience is highly desirable
Experience working for retailers, consulting to retailers is highly desirable
Ability to communicate effectively with cross-functional teams
Experienced at working with business process owners to understand the process impact

Project Manager Big Data Scientist Resume Examples & Samples

Recommendation algorithms: content based and collaborative based filtering
Conceptual modeling: to be able to share and articulate modeling
Statistical analysis: to understand and work around possible limitations in models
Predictive modeling
Hypothesis testing: being able to develop hypothesis and test them with careful experiments

Senior Manager, Data Scientist Resume Examples & Samples

Position will build and manage a team
Develop, direct, and evaluate high caliber analytical team
Lead advanced analytics projects and initiatives that are leveraged across the breadth of enterprise
Conduct modeling to optimize acquisition and retention efforts, voluntary and involuntary churn, propensity modeling, product/revenue forecasting, profitability segmentation, optimizing search, online AB testing, lifetime value, etc
Identify a funnel of potentially critical, analytical projects
Must be aware at all times of details involving the internal data model, data environment and data elements as these factors will always play an integral part in formulation of the analytic plan and interpretation of the results
Conduct appropriate outside data collection via surveys, etc to build out analytic capability
Statistically sample and analyze large data sets to look at problems without 100% of the appropriate data
Help to establish new processes, methodologies and benchmarks as appropriate and identify, explore, test and validate new data sources, advanced techniques
Articulate to business executives the ramifications of modeling results drive and measure results of models implemented in business situations
Evaluate analytic vendors for expertise and capability. Ensure that vendors’ work falls within the guidelines established for analytics within VMware

Manager Data Scientist Resume Examples & Samples

Apply leading-edge technologies and advanced analytical tools to analyze web/mobile/social media data together with internal customer and transaction data to improve performance and efficiency in business decision-making
Develop predictive/statistical models
Excellent quantitative analytical skills. Must be able to interpret and consolidate large amounts of information in actionable recommendations. Uses sound judgment in the creation of the work plan, analysis, validation, interpretation and presentation of findings
Advanced skills in SAS, R, Python, big data
Strong theoretical knowledge and practical understanding of statistical analysis and data mining techniques
Strong knowledge of numerical optimization techniques
Strong SAS, SQL programming skills (including SAS Macro Programming, and knowledge of MS-Office products (Word, Excel, Powerpoint and Access)
Experience on web/digital/mobile analytics, social media and sentiment analysis
Strong verbal and written communication skills, being able to effectively communicate statistical/optimization concepts and how they can be utilized to business partners
Strong knowledge financial services products and features, especially credit cards, day-to-day banking and other loan products

Senior Data Scientist & Team Manager Resume Examples & Samples

Develop and evaluate statistical models and computational algorithms to improve the value of Pearson products, services and processes
Communicate research and operational findings through appropriate methods that may include internal reports, journal papers, or executive summaries
Work collaboratively with other members of the Lab and product-specific partners to advance the goals of the Lab
Supervise the work of a multi-disciplinary team including setting goals to align with strategy, oversight of deliverables and quality, technical mentoring and input to employees
Provide standard management functions including setting performance goals and conducting performance reviews, serving on the lab management team and contributing to the direction and evolution of the group

Senior Manager, Data Scientist Resume Examples & Samples

Master’s Degree in mathematics, statistics, economics, engineering, computer science or a similar or related field
5 or more years of relevant quantitative and qualitative research and analytics experience
An open, analytical, strategic and problem-solving mindset
Passionate about making the smartest business decisions thanks to data-driven insights
Passionate about building data-driven features for well-designed consumer-facing applications
Passionate about participating in the evolution of our technologies and technology practices, pitching new techniques and technologies that you believe in, participating in workshops to learn new skills, and passing on data skills to others
You’re ready to work collaboratively with very creative people, and proactively define your own requirements to solve real, specific business problems
Experience interfacing with the Business Intelligence and data warehousing operations of an industry-leading company
Understanding of Multi-channel attribution and CLTV modeling
Flexibility to adapt to new/unfamiliar tools and problems
Experience with at least one of the following statistical programming languages: Python (numpy, scipy, pandas), R, SAS, Julia, or Scala
Experience with at least one of the following machine learning frameworks: scikit-learn, Spark/MLib, Mahout
Experience at least one of the following distributed computation environments: Spark, Hive, Pig, Hadoop, Amazon EMR
Experience with at least one of the following visualization frameworks: d3.js, matplotlib, ggplot, Processing
Hands-on experience with schema design and dimensional data modeling
Understanding of SQL and relational data warehousing concepts
Understanding of leading NoSQL solutions such as Cassandra and MongoDB
Comfort and skill in using Git to collaborate with analysts and developers
Experience setting up and maintaining environments on AWS

Senior Manager, Data Scientist Resume Examples & Samples

Presents business cases with senior leadership in Product Operations and influences cross-functionally to take, implement and deliver on recommended actions
Achieves results on initiatives that contribute to growth and profit goals
Encourages risk taking and innovation
Applies efforts to diverse and complex situations to determine solutions, alternatives or guidance
Represents Allstate on panels, in outside venues or forums
Serves as a subject matter expert for machine learning/predictive modeling and consults on complex issues with regulators, legal consul and the field
Partner with outside business units in order to improve the effectiveness of business decisions
Extensive pricing, statistical, rating plan design, and insurance regulation knowledge, with working knowledge of personal lines underwriting and product offerings and company sales and marketing processes
Prefers a Master’s in a quantitative field such as statistics, mathematics, finance, or economics or an actuarial designation (ACAS/FCAS) with a bachelor’s degree in a quantitative field
Extensive experience in leading teams and cross functional projects
Proven ability to manage teams overseeing machine learning/predictive modeling, and optimization in software such as SAS, SPSS, Matlab, R, CART, Python, Java etc
Proven knowledge of advanced technique such as GLM, GAM, Machine Learning algorithms, decision tress, etc
Ability to analyze and interpret complex concepts
Ability to lead teams in the development rating plans
Ability to lead teams in the development machine learning/predictive modeling, and optimization

Senior Manager, Data Scientist Resume Examples & Samples

Establish scalable, efficient, automated processes for large-scale data analysis, model development, validation and implementation
Lead the analysis efforts, including personalization, predictive analytics, user segmentation, forecasting, web user behavior analysis, attribution models
Analyze multichannel data from disparate data sources (online, offline, transactional, aggregated, qualitative to support all facets of the decision-making process
Present analysis and data visualizations that explain and illustrate insights, recommendations, and strategies to non-technical audience for improving website performance and/or offers
Collaborate with IT and marketing to enhance data quality and expand the breadth of customer data
Evangelize data science and advanced analytics that drive productivity and better customer experience

Data Scientist Product Manager Resume Examples & Samples

Work closely with customers and partners, field personnel, and engineering team, while taking into account industry best practices in developing and driving the Data Product roadmap
E2E Portfolio responsibility (financial and technological) for products that delight end users
Gather requirements from customers, prospects, engineers, sales, other product managers, finance, and professional services consultants, and write detailed product specifications for the engineering team
Perform competitive analysis in determining and prioritizing feature requirements for existing and new products
Work with engineering, project managers, UI, technical documentation, and QA, to drive product development schedules
Act as subject matter expert and develop sales and professional services training and support materials
Communicate product capabilities , roadmap and vision to internal and external audiences
Fast Learner with aptitude to gain end user and customer IT perspective and distill the knowledge to drive product enhancements
Strong execution orientation – you get stuff done
Experience working with engineers to define software products
Experience working with customers in a sales, consulting, or support capacity
Excellent presentation, oral, and written communication skills in English and preferably German
Excellent quantitative analysis skills to take data as input and output actionable recommendations
Experience with Software-as-a-Service or Cloud delivery model
Ability to multi-task and work in a fast-paced environment
Technical undergraduate degree
Ability to manage complex and/or cross-functional projects and apply your skills in a data-driven environment. Proven ability to work cross-functionally to deliver solutions
WORK EXPERIENCE
5 years of experience in product management
Experience working with globally distributed teams
LOCATION
US: Palo Alto,
EXPECTED TRAVEL
20% - 40%

Manager, Data Scientist Resume Examples & Samples

Contributes to overall department objectives/goals based on "global knowledge" of industry and organizational strategic issues
Proactively identifies key business/segment issues
Creates justification and makes recommendations/decisions on allocation of Market Strategy resources
Provides oversight, coaching&management to individual contributors (e.g. Analysts, Data Consultants, and Market Strategy Consultants)
Provides management oversight and serves as subject matter/technical expert on multiple complex business processes (including rate-setting, membership forecasting, strategy development, and database architecture)
Presents key strategic findings&recommendations to Health Plan and PMG senior leadership
Hire, assess, coach and develop staff; provide consistent orientation; create and model a coaching culture that supports continuous career growth and development at all levels
Model the competencies of a superior manager; develop career plans
Provide operational management; monitor organization/business performance metrics and act when needed
Develop a culture of collaboration and accountability between sales, account management, pricing and other key internal partners
Implement continuous quality improvement programs
Minimum five (5) years of content/functional experience, OR a master's degree and minimum two (2) years of experience
Minimum five (5) years of related experience
Master's degree preferred

Data Manager / Data Scientist Resume Examples & Samples

Processing and organizing data for efficient storage, retrieval, and analysis
Formatting disparate data from external sources to facilitate storage, analyses, and subsequent inquiry
Developing automated approaches for processing and formatting data
Collaborating with Statistician and Methodologist to develop solutions for extracting and normalizing data from numerous and sometimes disparate sources
Formulating techniques to insure data quality, security, and control
Providing expertise on technical requirements for the integration of new/novel datasets and analytic capabilities
Maintaining procedures and rules for data sharing that ensure data is disseminated to appropriate stakeholders
Maintaining file management protocols for appropriate databases and data systems
Supporting Analysts and Statisticians in the daily use of data systems, including assistance with data extractions for analyses and reports
Must possess a Bachelor's degree in data science, computer science, or a research-related discipline. Relevant work experience may be considered in lieu of educational requirements (Combined total of 13 years between education and direct relevant experience)
Must possess a minimum of 9 years relevant experience in data management or data science in the DOD, IC, LE communities or in commercial or academic sectors
Demonstrated familiarity with statistics, quantitative and qualitative research, and industry standard statistical software
Demonstrated experience extracting, processing, normalizing, and organizing data from disparate sources for subsequent qualitative and quantitative analysis
Demonstrated experience retrieving data from databases and other systems using queries, exporting capabilities, and other effective methods
Demonstrated ability to design, populate, and manage databases and other tools used for data storage
Demonstrated ability to develop and implement database security and quality control procedures
Must be willing and able to travel CONUS and OCONUS in support of the program: Note some locations may be hazardous
Must possess or be able to obtain a U.S. Passport
Must possess a current Top Secret security clearance with SCI eligibility for the USEUCOM AOR and must possess a current Secret Clearance for all other AORs
Experience conducting statistical analyses and familiarity with tools such as SPSS, SAS, R, and others
Experience with knowledge management and knowledge management tools
Experience developing interactive dashboards and reports, and refining existing data sources for incorporation into interactive dashboards and reports
Experience working in the customer space and extracting data from customer databases
Excellent oral, written, and electronic communication skills, including proficiency with customer-based communication systems
Familiar with DOD and IC databases and analytical tools
Strong leadership, communication, and motivational skills; including the ability to create a positive and productive work environment

Data Scientist Snr Manager Resume Examples & Samples

Design, implement and support a data warehouse platform for Oracle’s cloud business
Interface with business customers, gathering requirements and delivering complete BI solutions
Model data and metadata to support ad-hoc and pre-built reporting
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
Design and plan for the integration for all data warehouse technical components
Responsible for data design, data extracts and transforms
Experience taking a lead role in architecting, designing, and building complex software systems
Strong bias for action; ability to juggle multiple priorities and create a * sense of urgency in a fast-paced, dynamic environment
Bachelor's Degree in an engineering or technical field
7+ years of experience with and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures
7+ years of experience with relational data modeling concepts
Strong background of recruiting and retaining top data science talent
Experience in relational database concepts with knowledge of Oracle, SQL and PL/SQL
Knowledge of data warehousing concepts
Knowledge and direct experience using business intelligence reporting tools. (OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.)

Data Scientist / Product Manager Resume Examples & Samples

In partnership with the broader Consumer Data leadership team, Consumer data engineering and core business users -- prioritize and lead product feature development against priorities and other product platform opportunities
Define, communicate and analyze success metrics for the consumer data platform
Proposes multiple potential solutions for complex or new problems or processes and makes objective recommendations as to which direction should be taken
Stays on top of market trends to determine new or enhanced product capabilities that positively impact fan experience
4 years experience as a Data Scientist or experience as a technical product manager working very closely with Data Scientist on big data, database management, and Enterprise software products
A minimum of 3 years of experience in the enterprise technology domain, such as Cloud technologies, open source, and analytics
Hands-on Experience with Master Data Management, modeling, data science and governance; preferably within the consumer space
Comfortable working with Big Data technologies (Hadoop, Hive, Pig, RedShift, Cassandra)Experience building and designing products that utilize both real time as well as batch data streams at scale
Understanding of the technical architecture of complex data products
BS Computer Science or related technical discipline or its equivalent

Senior Manager, Data Scientist Resume Examples & Samples

Build and advocate data-fueled products that help our cross-functional partners improve outcomes
Partner with customers to identify and support key strategies to drive the brands strategic imperatives, with a strong focus on predictive analytics
Provide insight into leading analytic practices, and ultimately produce new and creative analytic solutions that will become part of our core deliverables
Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas
Research, design, implement, and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes
Processing, cleansing, and verifying the integrity of data used for analytics
Streamline data feeds from various sources ensuring timely and accurate information for end users
Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the organization
Other responsibilities as deemed necessary
LI-PB1
Ph.D. or Master’s Degree in operations research, applied statistics, data mining, machine learning, or related quantitative discipline
Minimum of 3 years’ experience in gathering/analyzing/portraying data
Strong sense of teamwork and collaboration skills
Knowledge of SAS, R, Python, Hadoop, Tableau, Spotfire, Access, Excel, Word, and PowerPoint
Strong analytical, problem-solving, and decision-making skills
Possesses high level initiative, ability to multi-task, and is passionate about asking and answering questions in large datasets
Designs advanced analytics solutions in the areas of optimization, simulation, and predictive analytics
Excellent communication skills (both oral and written), with the ability to communicate across multiple functions and levels
3+ years’ experience in statistical analysis and deploying the results of the analysis
3+ years’ experience in data collection and data mining
Pharmaceutical/Biotech/Healthcare experience preferred but not necessary

Manager Data Scientist Assurance Analytics Competence Center Resume Examples & Samples

Meeting with prospective clients to understand their business problems
Contribute to the team’s growth through proactive business development and networking
Manage all administration aspects of the assignment/project with efficiency and accuracy
Actively contribute to building knowledge capital through experience and research
Interact with clients in a professional manner, to help them articulate their requirements and understand their expectations
Coaching young motivated team members to reach their potential
Creatively and innovatively extracting data from various client systems (SAP, Oracle, JD Edwards)
Preparing dashboards and data visualizations

Maps Data Scientist / Data Product Manager Resume Examples & Samples

5+ years of experience working on data science projects
Strong understanding of statistics and applications as well as strong working knowledge of machine learning and data mining techniques including hands-on experience with corresponding software libraries and frameworks
Experience with NLP, image classification or deep learning is a plus
Hands-on experience with real world, big data is required
Experience in Apache Hadoop, Spark or other MR frameworks and strong programming skills in Java, Python and/or Scala are expected
Ability to analyze a problem, develop and engineer a full solution from concept to deployment to production
Team player with a long term vision and will to take lead in supporting the overall team goal is a must
Passion for quality and attention to details
Ability to effectively manage your own time with an eye on timely delivery of the final solution
Strong interpersonal, written, and verbal communication skills and the ability to present own results to other teams in an engaging way

Data Scientist Snr Manager Resume Examples & Samples

This role resides on the CPG Client Analyticsteam, which resides in the Oracle Data Cloud Data Science department
This role manages a support team of India-based CPG Client Analytics Support (CPGCAS) Analysts, and is the primary management point of contact for the U.S.-based CPG Client Analytics team. The Team Lead will be responsible for
M.B.A. degree and/or commensurate experience in building and managing business support functions
Experience hiring and training team members and managing their job performance
Experience in conducting analyses that interrogate large, diverse data sets
Experience using analytics software packages to run and QC statistical models
Past industry experience in marketing analytics, digital advertising or marketing research will improve consideration
Intellectual curiosity – loves to learn ‘why&#8217
Comfort developing capabilities based on applying statistics and Computer Science foundations
Familiarity with computer science programming languages (especially SQL and Python)
Strong experience base with Microsoft Office software programs (Excel, Powerpoint, Word)

Senior Manager, Data Scientist Resume Examples & Samples

Assemble and cluster rich variety of data sources such as internally generated transactional and historical data, external data from specialized data providers(S&P, Bloomberg, FRB etc.), financial data, documents, audit logs, social media, regulatory and compliance publications etc
Wrangle, enrich and prepare large structured, semi-structured and unstructured data sets
Analyze, model and manage structured data using advanced statistical methods and implement algorithms, and develop software needed for the analyses
Work with semi-structured and unstructured data including responses of internal and external APIs to support analyses
Build models by using algorithms and statistical analysis methods including recommendation engines, classification, collaboration filtering, sentiment analysis, topic modeling, regression, time-series analysis etc
Identify interesting correlations, trends and patterns. Monitor lagging Risk indicators and metrics; predict leading Risk indicators through data science and machine learning
Utilize a diverse set of technologies and tools (such as R, SAS, Python, Hadoop, Hive, Spark, Tableau etc.) to derive Risk related insights across all processes (Acquisition, Customer Servicing, Fraud etc.) and risk types (Operational, Credit, Compliance, Market etc.)
Translate advanced business analytical problems into actionable recommendations and solutions in diverse domains such as Risk Management, Company Standards and Policy, Product Development, Marketing etc
Communicate results to technical and non-technical stakeholders through insightful visualizations, dashboards and reports, and presentations
3-5 of experience in data retrieval, developing of data-driven, probabilistic and predictive algorithms, statistics methods, Big Data analysis and machine learning. Experience in the Financial Services and Governance, Risk and Compliance (GRC) is a plus
Experience with technologies and tools such as R, SAS, SQL, Python, Hadoop, Hive, Spark, MapReduce etc
Effective communicator capable of explaining a complex problems and ideas clearly and in a succinct way. Is able to communicate findings and results to stakeholders through visual techniques
Results-driven individual who loves a challenge and does what it takes to succeed
Ability to work in a highly collaborative environment
Bachelor’s degree in CS, Math, Statistics, Engineering or similar field of study or equivalent work experience required. Master’s degree is a plus

Data Scientist Snr Manager Resume Examples & Samples

Curate the scientific literature about cancer
Discover and define data sources (structured and unstructured) and develop reproducible processes for extraction of relevant data
Provide creative scientific direction to cross-functional teammates
Managing a team of laboratory cancer scientist
Knowledge of Genomics, Proteomics, Metabolomics and other “-omics” technology
Skill and desire to keep abreast of new discoveries and technologies in the cancer clinical research area
Good communication and diplomacy skills
Working knowledge of bioinformatics software, including genomics sequencing processes and pipelines, proteomic
Software development experience, including scripting is considered a plus

Program Manager / Data Scientist Resume Examples & Samples

Create Business insights for large dataset / structured & un-structured
Design, develop and deliver actionable insights to drive growth, improve forecast accuracy
Analyze large data sets to develop new models and algorithms to predict demand & supply
Mathematical and Statistical Analysis - Probability, Regression, Correlation, Significance

Senior Manager, Data Scientist Resume Examples & Samples

Minimum of 5+ years relevant experience, ideally within the telecom industry
Statistics, Mathematics, Computer Science, Economics or analytically-based discipline, or equivalent experience
Consulting experience a definite asset
Analytical anchored problem solving skills, with a solid background working with data and developing dashboards, visualization, predictive models, text analytics, big data analytics, machine learning
A solid people manager, with strong interpersonal skills
Strong project management skills, and technical knowledge of SAS, Tableau, Microstrategy, R, and Big Data tools and technology
Well organized, high attention to detail, results-oriented

Data Scientist / Technical Product Manager Resume Examples & Samples

Define and lead the overall product vision, scope, requirements, usability of end user facing products built off of the Consumer Data Platform including our user360, visualization tools and implicit personalization capabilities
Help build a consistent Master Data Management process and governance policy across the organization
Provides transparency and recommendations on project trade-offs and provides dependency coordination
Performs with a wide degree of latitude on creative solutions
Continually assesses and integrates internal and external customer feedback and business metrics
4 years’ experience as a Data Scientist or experience as a technical product manager working very closely with Data Scientist on big data, database management, and Enterprise software products
Ability to write and validate SQL queries and to ensure data is validated
Demonstrated data driven decision making capabilities. Strong analytical skills using Omniture, Localytics, Google Analytics or related products with applicable experience in using analytics to influence product decisions
Experience taking direction and input from multiple sources and creating a shared product vision
Demonstrated ability to work on a diverse scope of projects requiring detailed analysis, creative/practical problem solving, and sound judgment
Passionate sports fan and familiarity with ESPN’s products and services
Strong communication skills
Bachelor's Degree in Computer Science or related technical discipline or its equivalent

Manager Data Scientist Resume Examples & Samples

Manager Data Scientist will support technology development for improving clinical trial operational efficiencies, digital assessments and health products, and other intelligent information management tools
Supports translational research in the CNS and oncology disease areas on the identification of prognostic and predictive digital/molecular/imaging biomarkers, characterization of disease and its progression, and identifying/development of new assays towards diagnostics/algorithms that enable personalized/precision medicine by guiding targeted, individualized use of therapies to the patients that will benefit the most
Develop innovative AI/machine learning/NLP/Signal Processing/Logic/statistics and mathematical modeling methods to provide therapeutic insights by leveraging internal, external and real world data sources
Guide evidence based product development by extracting market intelligence from such real-world data sources through knowledge representation and pattern recognition
Must have been awarded an advanced degree (PhD preferred) either in

Assistant Manager IT Data Scientist Resume Examples & Samples

Do something about cleansing, manipulation, feature extraction and analysis on data sets
Apply data science approaches and methodologies (such as Neural Nets, Bayesian methods, SVM etc.) to improve business outcomes Initiate ideas and develop related model with R, Python or Scala
Design elegant data visualizations to present complex analysis and insights to customers with Tableau or other related tools
Effectively communicate with leadership and other various levels of the organization
Collaborating actively and effectively with other people to accomplish project objectives
Develop the data analysis model according to business scenarios
Evaluate the method and technical solution of data analytics projects
Share the data science knowledge to other team members and build up the productive internal knowhow
Experience with data visualisation tools, such as QlikView, Tablau, etc
Speak, read and write English perfectly and skillfully and Mandarin Chinese
Preferred if have experience in using Spark or Hadoop
Preferred if have knowledge of Big Data / Hadoop, RDBMS, Data Warehousing / Data Integration, Data Engineering and Data Science (awareness) and Software Development

Manager IT Data Scientist Resume Examples & Samples

Act as a business consultant for the use of Data Analytics to drive business decisions, business strategy
Translating business needs to technical requirements and implementation
Excellent understanding of statistical analysis and algorithms, such as Decision Tree, Regression analysis, modeling, etc
Familiar with commonly used data mining algorithms (i.e. classification, clustering, regression, association rules, neural networks, etc.) and its principles, and is able to discuss past project experiences at length
Good understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
Experience with common data science toolkits, such as R, Python, SPSS, etc
Proficiency in using query languages such as SQL, Hive, Pig. Basic
Experience in solving analytical problems using quantitative approaches
Hands-on experience in data mining, statistical analysis, algorism research, mathematical modeling
Experience in analytic tools, such as R, Python, sas, spss
Experience in data mining related work
Experiencein database, such Oracle, SQL Server

Data Scientist Snr Manager Resume Examples & Samples

Providing thought leadership in the implementation of analytical solutions
Communicating with team members, project management and business stakeholders to understand requirements and strategically implement robust software design
Acting as a source of knowledge and mentorship for other data scientists
Attempting tasks which may be impossible: judging the feasibility of never before answered questions via the exhaustion of creative ideas
Managing a team and helping to align towards a vision of creating awesome data driven products
Focus on building up team members to progress in their careers in parallel to adding business value
Previous management experience
Previous client engagement experience
Experience with big data tools like Spark and Hive
Demonstrated machine learning knowledge either through work or independent research/machine learning contests
Ability to hack a solution together quickly and improve it later
Experience with standard software development practices including object oriented programming, functional programming, test based design
Fan of not inventing the wheel by utilizing and improving open source solutions to complex problems (Luigi, scikit-learn, Docker, Mesos, Packer, Puppet, TensorFlow, etc.)

Senior Manager, Data Scientist Resume Examples & Samples

Retrieve, prepare, and process a rich variety of data sources such as social media, CRM data, paid media data, sales data and account data
Create attribution models that quantify return on investment in marketing spend and channel selection and correlate closely to actual sales and/or campaign performance
Mine data to generate new insights around channel, audience & account performance
Partner with Brand, Consumer Planning and Sales teams to develop hypotheses and run experiments, build forecasts and report on relevant performance variables
Collaborate with Data Architect, Growth Manager and IT teams to create data lakes and sustainable data infrastructure
Consult other teams in their exploration of Data Science for choices around pricing, distribution, A&P resourcing, etc
Extend our first party data with second and third party data when needed
Enhance data collection procedures to include information that is relevant for building analytic systems
3+ years of Data Science experience (working as a Data Scientist, Statistician, Predictive Analyst or related)
Masters degree in Applied Mathematics, Economics or Computer Science
Experience in attribution modeling with large data sets source from disparate sources (e.g. Data Warehouses, 3rd Party APIs, etc.)

Manager, Data Scientist Resume Examples & Samples

Work with digital stakeholders and managers to understand business objectives; create and maintain weekly and monthly reports for measuring performance
Conduct ad hoc and deep dive analyses to derive insights and recommendations related to digital trends and consumer behavior on various WWE digital assets
Assist in development of KPIs, automated interactive dashboards, and forecasting models
Provide functional specifications and testing support to improving tracking, ingestion, validation, and structuring of data from multiple tools and sources to meet analytical needs
Conduct proactive data mining and profiling, supporting product and marketing initiatives to optimize digital fan experiences and business outcomes
Partner with other Data Analytics teams to produce collaborative strategic insights
Manage data collection, data quality, and data blending
Minimum of 4 years of related digital analytics and/or data science experience
Bachelor degree with analytical focus (e.g., business administration, marketing, statistics, economics, engineering, computer science, mathematics, etc.)
Strong understanding of consumer web/mobile, app, social, and/or OTT content platforms
Proficiency in analyzing data from web analytics tools such as Google (or Adobe) Analytics
Highly Proficient in SQL
Experience with Business Intelligence and Data Visualization tools (e.g., Tableau, Cognos, Qlik)
Proficiency in building, maintaining, and validating Excel reports and models
Experience with statistical toolsets such as R, SPSS, or SAS
Ability to synthesize complex qualitative and quantitative data and communicate relevant insights and recommendations using data visualization
Strong organizational skills; ability to handle multiple concurrent projects and work independently
Strong written and verbal communication skills, including the ability to communicate clearly and confidently with internal stakeholders
Experience analyzing data from sources such as YouTube, social networks, DFP, video players, and/or digital 3rd party measurement tools (e.g., comScore, Nielsen, Dynamic Logic)
Basic technical knowledge of tag manager and web analytics tracking implementation & QA
Understanding of web product development and A/B testing tools
Experience with application programming languages (e.g. Python, Java) and reporting APIs
Working knowledge of machine learning and predictive analytics (e.g., regression, clustering)
Experience working with big data platforms (e.g., Redshift, BigQuery, EMR, Spark)

Data Scientist / Methodologist, Snr Manager Resume Examples & Samples

Past experience within pharma/biotech companies holding positions in strategic planning, business analytics, forecasting and/or health economics
Experience with R and Python
Strong SQL or Hive skills
Basic knowledge of health care disease modeling and epidemiology
Knowledge in Brazilian health care information system (DataSUS)
Experience with LATAM health care data assets will be a differential
Knowledge in QuintilesIMS data assets (PMs, NRC, PBS and others) will also be an asset
Fluent Portuguese speaker and/or advanced skills to deal with daily interaction with field teams
Fluent English (spoken and written); strong business/scientific written

Senior Manager, Data Scientist Resume Examples & Samples

Perform data sourcing, data mining, as well as model development & validation
Lead projects, monitor trends, provide recommendations and work with cross functional business units as well as senior leadership
Define business requirements for model development; Design statistical models and customer analyses, such as multivariate and logistic regression modeling, clustering analysis, churn analysis, variance analysis, factor analysis, discrete choice modeling, time series analysis, and other ad-hoc projects; Execute model capabilities including model application, validation and continuous improvement
Work with senior leadership as well as cross-functional business units to drive operational analytics that generate business value; disseminate the benefits of advanced business analytics within company and identify opportunities for new projects; document and track project and team deliverables and produce reports
Lead and mentor junior team and support their projects with expertise and insights into company's organization and projects
Minimum master’s degree in a quantitative discipline, statistics, math, computer science, economics, or equivalent, required
Minimum 3 years of business experience with predictive modeling, machine learning, and statistical techniques such as regression, decision trees, clustering, neural networks, text mining, etc
Strong programming skills at SAS or R required
Experience in data warehouse and SQL language a plus
Experience in retail industry a plus