Manager, Data Science Resume Samples

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E Berge

Ezra

Berge

3501 Vincent Drives

Houston

+1 (555) 154 5175

3501 Vincent Drives

Houston

Phone

p +1 (555) 154 5175

Experience Experience

Dallas, TX

Manager, Data Science

Dallas, TX

Jacobi Group

Dallas, TX

Manager, Data Science

Expertise in predictive modeling using both supervised and unsupervised learning techniques
Partnering across the organization to create processes for identifying and fixing system issues
Analyzing and/or supervising analysis on vast amounts of complex pricing-related data
Encouraging, challenging, and influencing others within the Strategy group, IT, and other departments in the development of our data technology roadmap
Record of building and maintaining strong working relationships
Owning the strategic planning and project management for long term research projects creating value for our customers
Expertise using PowerPoint and clearly articulating findings/ presenting solutions

Phoenix, AZ

Senior Manager Data Science

Phoenix, AZ

Langworth-Wisozk

Phoenix, AZ

Senior Manager Data Science

Works closely with leadership in Engineering and Product Management to establish database structures, data models and new products that enhance client insight
Develop key metrics and performance indicators to evaluate overall financial performance
Integration of data sources and the development of data routines to create information from raw data sources
Work closely with data warehouse architects and software developers to generate seamless business intelligence solutions for business partners
Study customer transactional data to understand behaviors and develop predictive models
Create innovative inventory strategies to reduce the lead time from product idea generation to its rollout across multiple countries
Dive into large, noisy, and complex real-world behavioral data to produce innovative analysis of historical patterns in customer behaviors and product performance

present

Houston, TX

Senior Manager, Data Science

Houston, TX

Rogahn-Ankunding

present

Houston, TX

Senior Manager, Data Science

present

Measures effectiveness of improvements through deep analysis of data on performance metrics striving for cost effective high quality improvements
Support process improvements which guide the development, sustaining & support activities
Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value
Guide and develop reports, visualization, and key performance indexes to track effectiveness of marketing and guide marketing decisions
Establish a culture of rapid experimentation by being a ‘go to expert’ on A/B testing and MVT
Demonstrated success in leading and developing highly technical teams
Partner with the Visualization & Self Service Hub team to apply visualization techniques to create advanced visualization from complex data

Education Education

Bachelor’s Degree in Statistics

Brigham Young University

Bachelor’s Degree in Statistics

Skills Skills

Energetic and detail oriented, with excellent communication skills and the ability to focus diligently on delivering results
Strong communication skills and the ability to explain complex solutions to a non-technical audience
Strong quantitative analysis, programming, and statistical modeling skills coupled with the ability to mentor and train junior team members on the same
Expert knowledge of the SAS analysis tool — Proficiency in SAS/Base and SAS/STAT
Strong oral and written communication skills, and proficiency in Microsoft Office
Excellent interpersonal skills – able to communicate effectively
Complete all deliverables in a timely fashion, ensuring proper quality checks, analytic and business context reviews, and associate revisions
Familiarity with relational databases (such as Oracle, DB2 or Teradata), and proficiency in SQL to extract data from a relational database
Ability to influence at all levels of organization
Ability to multi-task, handle multiple projects with demonstrated follow-through

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Program Manager Data Science & Analytics Resume Examples & Samples

Manages multiple projects simultaneously within the IM PdM business unit, making trade-offs where necessary to ensure overall program goals are met
Manages cross-project and cross-program interdependencies
Builds high-performing teams in a dynamic and changing business environment
Encourages collaboration and proactively seeks opportunities to improve communication between team members from different functions and geographies
Ensures meetings are effectively facilitated, the outcomes are achieved and their cadence is maintained
Tracks and ensures visibility of project and program progress
Emphasizes the need for iterative work and prioritization by value and risk
Assists with internal and external communication by transparently radiating information, especially relative to team performance, progress towards goals, and team capacity
Partners with program leads to ensure the team is producing solutions that meet the needs of the organization in a changing and dynamic environment
Collaborates with program leads to aggressively address issues, risks and mitigation plans
Instills a sense of urgency reflecting program goals and vision
Optimizes, increases and sustains throughput
Proactively identifies and removes blockers
Facilitates retrospectives to identify and implement improvements
Maintains program documentation
Participates proactively in developing and maintaining team standards, tools, and best practices
5 years of project management experience
Experience working with Big Data and/or Analytics preferred
Preferred to be a Certified Project Management Professional (PMP) or equivalent
Must have a proven track record overseeing large project teams with at least 15 team members
Impeccable written and verbal communication and time management skills
Must be self-motivated, organized, self-confident and self-directing with a proven ability to identify priorities and mobilize initiatives in an orderly fashion to achieve desired results with minimal supervision
Demonstrate judgment in selecting Project Management methods and techniques for obtaining solutions
Must be effective and efficient in identifying and proposing creative, innovative solutions to complex, time-critical challenges
Exceptional business acumen. Must be effective at working at all levels in the organization

Manager, Data Science Resume Examples & Samples

Build complex statistical models from end-to-end that learn from and scale to terabytes of data using a language such as R. Python, Julia, etc. Work closely with engineering teams to put models into production
Lead and grow our data science team. Manage team priorities and backlog
Communicate insights to executives around the business, and work with them to address critical business problems
Work to instill data best practices around the organization. Help with process, methods, and education
Proven track record (5+ years of experience) of using data analysis to drive significant business impact, or demonstrated academic achievement with an active research agenda in relevant topic areas
1-2 years of previous management or teaching experience
Must have knowledge and experience in the following: generalized linear models, ensemble models, resampling methods, model validation and testing, dimensionality reduction, clustering, and Bayesian approaches to data analysis
Proficiency with at least one language for data analysis, such as R, Python, or Julia. Excellent SQL
Preferred: Experience with large data sets and techniques and tools for analyzing them (e.g., streaming, MapReduce, Spark, etc.)
Preferred: Knowledge of and some experience with recommender systems
Master's Degree in statistics, math, engineering, computer science, or another quantitative discipline or 7 years of equivalent experience required. Doctorate/PhD preferred

Senior Manager Data Science Resume Examples & Samples

Strong understanding of database structure, design, query languages (e.g. SQL), fundamentals of mathematics, large data sets distributed systems, and statistical concepts
Experience with large database mining tools (e.g., SAS, Hadoop, R, Stata)
Ability to understand, manage and navigate large data sets

Senior Manager Data Science Resume Examples & Samples

Assist with development of qualitative and quantitative data layers to be leveraged in strategic analytics with the goal of driving increased operational efficiency and business process improvement opportunities
Integration of data sources and the development of data routines to create information from raw data sources
Development of business optimization processes and event decisioning processes
Knowledge and understanding of predictive modeling including time series modeling techniques
Knowledge and understanding of linear modeling
Knowledge and understanding of constraint modeling
Knowledge of Data Warehousing
Experience with statistical software packages (SAS/R)

HBO Manager, Data Science Resume Examples & Samples

Perform statistical and data mining analyses to support HBO digital properties
Assist in the creation and continued support of internal analytics databases to ensure actionable outcomes for analyses and reporting
Draw meaningful insights by combining multiple data sources using advanced statistics and data mining techniques
Work with others to form hypotheses and use analytical skills to support those working theories
Work with HBO’s data governance team to assure reference data and cross platform data are aligned to meet data analysis needs
Continually broaden and strengthen knowledge of analytical methods, vendors and tools

Manager, Data Science Resume Examples & Samples

Identify new source of raw data and facilitate access using techniques like Web-Scraping
Analyze TV viewing behavior through the lens of machine-learning techniques such as: affinity mapping, look-a-like modeling, viewer segmentations and decision trees, among others
Interpret & translate analytic output into insights
Programming background and ability to prototype tools using at least one of the following languages: SAS, Python, R
Experience managing a team of analysts or data scientists
Passion for “big data” and the ability to work with statisticians & marketing strategists in parallel

Manager Data Science & Model Innovation Resume Examples & Samples

Work with large scale and complex traditional and non-traditional data sources to identify opportunities that enhance credit risk model performance. The Manager will assist in discovering hidden insights within large datasets and will evaluate alternate methods for using this data in an agile fashion. These models are used to originate new loans, manage existing customer risk, manage collection treatment and forecast loan loss provisions
Assist in evaluating advancements in statistical analysis and model development methodologies and software. Work with Senior Managers on big data & advanced analytics initiatives. The Manager will review advancements in the industry and identify ways learning could be used to transform current methodologies, tools and processes. He/she will use this knowledge to deploy innovative ideas that challenge existing assumptions and processes
Ensure that the data used for model development is reliable and robust and that it adheres to Bank and industry standards. The preparation and management of complex data is essential for ensuring model integrity. Proper handling of data anomalies and missing values are critical success factors
Assist with identifying improvements that streamline, automate, and standardize data processes. Research best practices and work with Senior Managers to propose innovations designed to enhance Risk Management’s ability to increase profitability and enhance customer experience
Work with internal partners to evaluate data from external providers
3+ years of experience working for a major institution
Knowledge of credit risk predictive models with a deep understanding of data interactions
Machine learning and/or sophisticated data mining experience
Hadoop, SAS, R, etc…
Well-developed communication skills are required as internal and external presentations are frequent (e.g. at lenders/managers meetings, partners etc.). Excellent written communication skills are important for preparing proposals, management reports, and responding to field queries

Senior Program Manager, Data Science Resume Examples & Samples

Develop vision, translate vision to actionable roadmap, articulate roadmap and partner with engineering to execute for customer facing insights around usage, performance, service and support
Drive internal dashboard across all CRM products serving needs of R&D, CSM, Finance and other partner teams. This dashboard serves needs of Sales, Service and Marketing verticals. This includes standard metrics (MAU, DAU) as well as sophisticated ML around churn prediction and customer scoring
Design, and develop and incubate ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions and work with stakeholders across the organization to understand usage and customer lifecycles. Align partners around these measurement priorities
Work with Engineering to ensure product architecture and design delivers on product vision, stakeholder outcomes, and quality
Work with customers to understand SLA expectations, setup use cases and drive improvement
Recognize and adopt best practices within and outside Microsoft in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Deliver deep cross-team data wallows of key insight areas, using statistical rigor to simplify and inform the larger team of noteworthy story lines
Collaborate with product management, program management and service engineering to develop and enable a cadence of ongoing reporting including weekly and monthly business reviews
6+ years of experience in software engineering team delivering large scale, complex consumer and commercial products and working across disciplines
3+ years of professional experience in analytics, business analysis or comparable consumer analytics positions
Strong experience in developing sound analytics-based solutions to business problems, custom reporting and analysis experiences
Strong interpersonal and communication skills. Must be able to explain technical concepts and analyses implications clearly to a wide audience, and be able to translate business objectives into actionable analyses
Excellent project management, collaboration and communication skills (verbal, written, presentation - including interactions with both peers and executives)
Proficiency at querying data stores and ability to pull & integrate data from various sources. Experience with R/Matlab or other stat packages is preferred
MBA with solid experience in statistics and experience with driving insights and actions

Manager Data Science Resume Examples & Samples

Contribute to SIA team’s analytical agenda
Work across product, client, and IT divisions to help drive that agenda with business units
Perform sophisticated, large scale analysis on markets, clients, and ecosystems and discuss client-facing analysis with clients
Expand usage of Data Science tools with staff and clients
Drive identification and analysis of opportunities, risks, and trends
Contribute to the thought leadership interactions with business units and clients as it relates to client & market analytics
Assist and contribute to the evolving enterprise-level data roadmap
Manage and direct large, multi-faceted projects that deliver valuable analytical insight or new capabilities
Combine analytical skills with team-defined scope to deliver desired analytical results
Work directly with Sales, Marketing, and Product teams to proliferate understanding, incorporate feedback, and refine analytical agenda
Perform highly quantitative analysis on clients and product market structures to identify and understand opportunities, risks, and trends
Perform Big Data analytics on large CME Group databases to better understand CME Group market ecosystems and Globex infrastructure
Collaborate with Sales, Marketing, and Product teams to brainstorm new ideas from inception to fruition
Make presentations to Sales, Marketing, and Product teams on analysis performed
Collaborate with Chief Economist to continually enhance econometric models
Participate in client discussions and communicate analysis performed to inform clients and further their understanding of CME Group markets
Develop sophisticated market analysis, client analysis, forecasts, and automated alerts for business leaders and divisions
Provide ideas for new alerts, determine the best methodology for delivery, and participate in discussions to implement
Broadly utilize database systems and technical skills to perform analytics faster and more efficiently
Identify opportunities to access additional data, continuously scaling data repositories & capabilities
Stay current with leading edge systems, methods, and best practices for data science analytics and data infrastructure
BS/BA in Business, Engineering, Mathematics, Computer Science or equivalent experience utilizing a different BS/BA degree
MS in Applied Statistics, Statistics, Computer Science, or advanced Math or Engineering
Combination of business and technical/quantitative experience
1+ year of experience interacting with data in Apache Hadoop or Cloud Services (e.g. Amazon Web Services or Microsoft Azure)
7+ years of business, statistical, or technical experience
Advanced skills in statistics programming and coding (e.g. Java, Python, R, SQL)
Advanced skills in data analytics, modeling, and visualization
Skills associated with data base manipulation P/L SQL or equivalent
Significant experience with Oracle SAP, Qlikview/Qlik Sense, Tableau, or Power BI
Knowledge of capital markets, derivative products, and trading technologies
Ability to translate and relate IT terminology to business needs
Not be afraid of hard work and doing things smarter. Take initiative and provide leadership

Senior Manager, Data Science Resume Examples & Samples

Lead a team of Data Scientists to develop, verify, and validate analytics to address customer needs and opportunities
Provide technical project and program oversight to ensure appropriate technical rigor is applied to Data Science engagements
Guide cross-functional teams to translate algorithms into commercially viable products and services
Demonstrate very strong technical leadership and people management skills including solid communication and analytical skills with thorough understanding of analytic discovery and development practices, problem definition, decomposition, estimation and resolution
Support process improvements which guide the development, sustaining & support activities
Work cross functionally with other Data Science Leadership to align activities and deliverables
Drive world-class quality in the development and support of service offerings and products
Communicate effectively both within immediate team and GE leadership. Ensure team receives consistent messages and has clear understanding of business direction, strategy and results
Masters Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math)
A minimum of 2 years of functional management with direct reports in a data/data science development, or data science product development organization
A minimum of 10 years of professional experience in Data Science
Establishes vision, Identifies and champions internal/external best practices, tools, and ideas to improve execution and quality. Drives an organization of efficiency, accountability and ownership
Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision-making. Understands when change is needed. Participates in technical strategy planning

Senior Project Manager Data Science & Customer Intelligence Resume Examples & Samples

10+ years of experience overall and 8+ years experience in project management
Hands on experience working in an agile project management environment
Experience with delivering data engineering, business intelligence, data management, or data science projects
Experience working collaboratively with cross-functional teams to develop strategies that meet business goals within budget, time, and scope
Experience in project planning, resource planning, and scheduling
Experience with recognized project management methodologies including work breakdown structures, risk/issue management, resource loading, project monitoring and controlling, and quality assurance
Excellent presentation skills and verbal and written communication skills with technical, non-technical, and executive audiences
Excellent in leveraging project planning tools such as MS Project to build robust project plans
Comfortable working in a dynamic, data-oriented group with several ongoing concurrent projects
Experience in effectively managing communications, conflicts, and negotiations, identify operational issues/risks, recommend and implement strategies to resolve problems, and monitor and measure stakeholder satisfaction
Project management certification (PMP/Prince2 or similar)

Senior Manager, Data Science Resume Examples & Samples

Lead and develop initiatives in the Advanced Analytics & Business Insights team related to machine learning, artificial intelligence, data science and advanced analytical research, as well as, additional needs in the Corporate Strategy Office and Enterprise Data & Strategic groups
This role leads the orchestration and execution of advanced analytical and intelligence activities that drive better decision making, increase competitiveness and identify new opportunities
Marry multiple disparate data sets from both external and internal sources to provide previously hidden insights that relate to business growth drivers and franchises
Partner with the Data Solutions & Informatics team in data hoarding and data lakes management / execution
Partner with the Visualization & Self Service Hub team to apply visualization techniques to create advanced visualization from complex data
Minimum of a Master's degree (or equivalent) and 5 -7 years of experience preferred. An advanced degree in quantitative field such as Computer Science, Mathematics, Bioinformatics, Engineering or equivalent is preferred. However, a combination of experience and/or education will be taken into consideration
Must have a strong foundation in areas of statistics, computer science, data mining and machine learning. Strong knowledge and experience with experiment design, hypothesis tests, machine learning, statistical modeling, supervised & unsupervised learning, optimization models, clustering and classification techniques, natural language processing, predictive models, cognitive services, pattern discovery, etc
Hands on experience with programing language such as R, Python, Scala, Java etc. Experience with Hadoop, Hive, PIG, MapReduce, Spark, SQL, NoSQL, etc
Experience with data visualization of complex data sets with tools like d3.js and Tableau. Experience with Azure PaaS (Azure MLStudio, Azure HDInsights, etc) preferred
Must be passionate about data, advanced analytics and understanding the business. Must have strategic, proactive, creative, innovative and collaborative thought process
Able to see the larger picture, able to identify patterns or connections between situations not obviously connected; able to identify key issues in complex situations. Possesses a clear vision of project direction/outcome and ability to communicate this vision; instills a sense of project ownership
Work effectively in a highly matrixed environment that is built around a “team of teams’ approach
Demonstrate strong interpersonal, oral and written communication skills with ability to communicate complex quantitative analyses in a clear, precise, and actionable manner. Strong story telling skills

Product Manager, Data Science & Engineering Resume Examples & Samples

Bachelors degree or higher educational background or equivalent combination of education and experience
Great problem-solving abilities whether in groups or working alone
Ability to dig into the fine details of projects but also articulate product strategy and vision
Solid technical knowledge with a background in statistics, data analysis, HCI, Computer Science, or a research-centric field
Experience working with recommendation, search, and ad technologies, including functions like machine learning, distributed systems, text processing algorithms
Experience with data analysis, experimentation and measurement tools like Optimizely, Google Analytics, or homebuilt systems
Working experience building integrations between different products
Ability to research and contribute (from a PM perspective) on API development
Working SQL and database design knowledge

Manager, Data Science Resume Examples & Samples

Work closely with Sales and Services Operations stakeholders to turn business problems into analytical projects
Participate in the planning and strategy of key business projects, using data to inform decisions
Translate abstract data into a highly visual and easily understood formats
Develop machine learning, data mining, and statistical techniques and algorithms to create new, scalable solutions for business problems by analyzing large data sets
Design test experiments that focus on enhancing customer experience; review, analyze, and share results to ensure optimization
Manage, analyze, and report key performance metrics through manual and automated data collection methods
Identify opportunities and areas of sub-optimization and work cross-functionally to design and implement solutions
Complete all deliverables in a timely fashion, ensuring proper quality checks, analytic and business context reviews, and associate revisions
Participate in various structured and ad hoc planning, analysis, data statistics, and modelling projects
Work under tight deadlines; work extended hours during quarter-end or year-end periods when required
Develop an understanding of Red Hat workflows and an in-depth understanding of policies
Bachelor's or master's degree in data science, analytics, statistics, computer science, or math
7+ years of industrial experience in statistical analysis or data mining with industry standard tools like Business Objects, SAS, and SPSS
Proficiency in R, Python SciKit-Learn, or another statistical modeling package or environment
3+ years experience of managing a team size of 8-10 people
Excellent data manipulation skills, especially SQL, Pandas, etc.; Hive and Pig are a plus
Basic web development experience using HTML, CSS, and JavaScript
Experience with Platform-as-a-Service (PaaS) offerings like OpenShift, CloudFoundry, and Heroku
Experience working with sales, business consulting, or marketing teams
Ability to understand and transform data to meet the customer's needs and business context in a customer-friendly, quality-first manner
Energetic and detail oriented, with excellent communication skills and the ability to focus diligently on delivering results

Senior Manager, Data Science Resume Examples & Samples

Evaluate and recommend improvements based on analytic insights
Support ad hoc requests from internal teams
Create quantitative analyses that convert data into actionable insights by combining your business acumen and experience with your analytic prowess
Focus your excitement about large, new data sets to provide insight-driven decision-making support for strategic initiatives around self-service, trouble shooting, network health, and personalization
Deliver guidance and recommendations to internal clients that will directly impact OCF avoid insights with no action
Proficient with analytical tools, specifically SAS and SQL
Demonstrated creativity in identifying the 'so what' from multiple and disparate sources of information
Ability to grasp complex analytic principles and techniques
Familiarity with database environments and statistical concepts
Skill in identifying data issues and anomalies during analysis
Drives operational excellence through standardization of agreed upon best practices. Drives out defects and ensures processes are in place to positively impact customer experience
Develops business requirements, assesses current reporting capabilities, and makes recommendations for improvement. Researches new technologies and makes recommendations or leads implementation of new systems
Plans, develops, and implements data science, data engineering, or data analytics solutions and technologies, and ensuring that sound methodologies are employed. Provides the Company with solid, effective, and efficient systems that are supportable
Evaluates all major system modifications and development requests to determine potential benefits and impact on business and information system operations
Understands the needs of non-technical internal application users, and maintains strong support relationships with Managers, leads, and end-users community in all business areas
Identifies possible conflicts with the strategy and recommends cost effective alternatives
Measures effectiveness of improvements through deep analysis of data on performance metrics striving for cost effective high quality improvements
8+ years working experience
Experience with SAS (or other analytic software) and SQL required
Experience with databases and statistical methods preferred
Experience in telecommunications or media preferred

Senior Manager, Data Science Resume Examples & Samples

Understand the Customer Lifecycle; generate actionable insights and recommendations to ultimately increase ARPU (Average Revenue Per User)
Derive accurate customer Lifetime Value (LTV) and inform business decisions using an LTV lens
Apply machine learning to build recommendation engines (eg: Marketing Personalization)
Apply Speech/Text Mining and statistical analyses to the wealth of data in C3 (customer care center)
Help our Customers understand better and engage more effectively with their own customer base (via segmentation insights, reports, new products, generated recommendations, etc.)

Senior Manager Data Science & Analytic Insights Resume Examples & Samples

Analyze customer data and information to identify insights that support business decisions and initiatives by
Acting as the subject matter expert for customer analytics, analyzing customer transaction and channel activity data to drive insights related to customer behavior and customer experience in channels using advanced statistical and analytical techniques
Supporting business leaders with exploratory analysis to inform strategic initiatives and other business priorities
Providing thought leadership on analytics and contributing to data-driven decision making within the Canadian Banking Retail Distribution
Presenting ideas and findings with actionable recommendations to all levels in an easily consumable manner
Developing a roadmap for the future development of customer analytics and business needs and help the business to prioritize plans
Work with large datasets and distributed computing technology stack (Hadoop, Hive, Spark, etc.) by
Creating data structures and conducting analysis by using the enterprise data lake
Transforming and cleaning large data sets, including structured and unstructured data
Performing data blending from different data sources to enable data analysis and self-service reporting
Performing data mining & modelling
Develop and maintain consistent customer and business analytic disciplines by
Setting direction for analysis and associated data visualization
Assisting in the improvement of operational activities for the analytics team by identifying and implementing process improvements, identifying methods to monitor and maintain the analytical environment and initiating potential enhancements
Overseeing the development of appropriate and consistent protocols, methodologies and standards
Identifying information gaps and leading projects to add and integrate such information including the development of business requirements and business cases
Mentoring and developing big data processing skills of other team members in analytics group
Contributing to the ongoing and future evolution of the department’s customer analytics capabilities
Preparing documentation to outline data sources, models and algorithms used
Coordinate customer analytic activities and support with customer analytic units across Scotiabank by
Collaborating to leverage new capabilities and models
Establishing trusted collaborative working relationships
Participating on special project teams, as required to support the delivery of initiatives
Coordinate the dissemination of client insights and business intelligence by
Enabling self-service reporting and analysis by end users
Creating executive dashboards
5+ years of data analytics experience, with at least 2 years of big data analytics experience

Manager, Data Science Resume Examples & Samples

Partner with DCPI Franchise Strategic Operations team, Finance teams, and other LOB Franchise teams to understand business drivers and synthesize information across businesses
Build predictive models and algorithms to effectively measure and optimize franchise performance
Obtain and analyze data from multiple lines of business, extracting insights from disparate data sets
Analyze large, complex data sets representing the behavior of millions of fans/consumers/game players/audiences to address strategic and operational business questions
Monitor the health and performance of DCPI’s franchise portfolio
Distill and communicate key insights across all levels of DCPI’s organization
Develop frameworks, models, tools, and processes to institutionalize findings
Prepare presentations to share information with DCPI and Corporate executive team
Work closely with internal teams, using data to drive continuous improvement in products
Oversee team of 2 to 4 analysts who partner with various LOBs across DCPI
7+ years of experience at a top-tier firm in an analysis, market research or consulting role
3+ years of experience managing a team
Ability to communicate complex results to less quantitatively savvy users
Excellent collaboration skills with the ability to effectively partner across all levels and skill sets
Ability to manage multiple projects and provide leadership in a fast-paced environment
Working knowledge of SQL or other programming language
Experience using data visualization reporting tools (e.g. Tableau) a plus
Must be intellectually curious, analytically rigorous, hard-working and a have on-point business intuition

Content Marketing Manager, Data Science Resume Examples & Samples

Own the content pipeline across data science campaigns
Understand user/buyer preferences related to content consumption
Collaborate with technical experts and other content producers to create high quality content
Analyze success of content published
Don’t forget the team goal to deliver pipeline and marketing influenced revenue!
Collaborate with others to own the team’s social media presence across different channels
Own relationship with marketing agencies that you work with
Basic understanding of the competitive landscape
Work with other teams on major events from a content standpoint
5+ years in content publishing/creation or content agency
3+ experience driving content pipeline and publishing via multiple owned, earned, and paid channels
Bachelor’s degree in Marketing, English, Journalism, Computer Science or related degree
10+ years in content publishing and creation
5+ years in content publishing and creation in the data science and analytics space
3+ years running social channels
MBA Preferred

Senior Product Manager, Data Science Resume Examples & Samples

Establish an industry-leading vision for marketing performance measurement and planning
Engage with Sales, customers, and partners to identify key product issues and opportunities
Build product roadmaps to drive value for our advertisers and customers
Work closely with engineering and science teams to develop, research, and test data driven optimization products
Drive execution, delivery, success, and adoption of products

Manager, Data Science / Data Analytics Resume Examples & Samples

BA/BS/Bachelor's Degree
Strong understanding of statistical methods and applications
A minimum of five (5) years of related experience
Large corporate organization experience
Strong SAS skills including SAS/STAT, SAS/ETS, & MACRO’s
Significant experience with logistic regression and time series models
Strong relational database skills and solid knowledge of SQL and database query tools such as DBVisualizer or Microsoft Management Studio
Experience with MS Office Spreadsheets and Power Point tools
BA/BS/Bachelor’s Degree or MA/MS/Master’s Degree in Operations Research, Applied Mathematics, Engineering, or Statistics

Manager, Data Science Resume Examples & Samples

Quickly understand client needs, develop solutions, and articulate findings to client executives
Perform EDA and feature engineering to both inform the development of statistical models and generate improve model performance and flexibility
Design and build scalable machine learning models to meet the needs of given client engagement
Develop, enhance, and maintain client relations while ensuring client satisfaction

Senior Manager Data Science Resume Examples & Samples

Define strategy and roadmap for the BI and Data Science activities that support our EU inventory planning and placement vision
Create innovative inventory strategies to reduce the lead time from product idea generation to its rollout across multiple countries
Document and present new inventory strategies
Participate in internal business performance reviews and EU business reviews to understand trends, develop action plans, and share business plans and performance
Several years of combined experience within product management, business process and/or technical software management experiences
MBA or advanced degree in Engineering, Mathematics, Business, or Computer Science
Has held overall P&L / product ownership and thinks like a general manager
Demonstrated ability to lead teams of research scientists, software developers, and product managers to innovate and to deliver against aggressive targets
Possess strong analytical and problem solving skills
Strategic experience in managing cross functional teams in a fast-paced company
SDE background with expertise in shell scripting and python
Experienced working in a fast-paced, high-tech environment (preferably software development)
Experience with AWS, Spark
Demonstrated experience incubating and commercializing new technology while working closely with research scientists, software developers, and technical professionals from product conception to implementation
English language fluency

Manager, Data Science Resume Examples & Samples

Conducting and coordinating process development leading to improved and streamlined processes for model development. Strong customer focus is essential
Providing technical and scientific guidance to your team members
Communicating effectively with senior management as well as with colleagues from science, engineering and business backgrounds
Supporting the career development of your team members
M.S. or Ph.D. in Research, Computer Science, Applied Mathematics, or a closely related field. More than 6 years of industrial/academic experience in areas such as data analytics, data modeling, machine learning, search or personalization-related problems, and large scale simulation
Experience in managing and quantifying improvement in multiple business areas resulting from business analytics, optimization techniques, and/or statistical modeling
Demonstrated use of modeling and optimization techniques tailored to meet business needs and proven achievements in industrial production systems
Experience as leader of a science team and developing junior members from academia/industry to a business environment
Demonstrated leadership abilities, especially with cross-disciplinary efforts
Proficiency in one or more languages other than English

Manager, Data Science Resume Examples & Samples

Use data mining, predictive modeling, statistics and other analytical techniques to solve diverse business problems in a data rich environment
Leverage Wal-Mart’s world class big data infrastructure to drive a data science practice focused on innovation, scalability and agility
Develop adaptive machine learning models to solve complex problems, predict challenges /opportunities and optimize our operations /investments
Understand business and product strategies, goals and objectives. Be a key contributor in setting the analytics roadmap that aligns to business goals, this year, next year and beyond
Own the design, development, and maintenance of innovative ongoing predictive models, metrics, reports, analyses, dashboards, etc. to drive key business decisions
Team development - Lead, manage, develop and mentor junior Scientists/Analysts on the team
Master’s or PhD in a relevant, highly quantitative field (applied mathematics, computer science, statistics, engineering, machine learning, econometrics etc.)
4+ years of experience in machine learning (decision trees, multivariate and logistic regression, kNN, kMeans, etc.) and predictive modeling, including 2+ years’ experience in leading junior team members and guiding them on machine learning and data modeling applications
Track record of diving into data to discover hidden patterns and conducting error/deviation analysis
Experience with various machine learning techniques and key parameters that affect their performance
Ability to develop experimental and analytic plans for data modeling processes, and to accurately determine cause and effect relationships
Proficient in C/C++, Python (or similar scripting language)
Proficient in R, Matlab, or another statistical software
Job Title:* Manager, Data Science - eCommerce
Req ID:* 749195BR
Canada Walmart Division:* Corporate
Province:* Ontario
Canadian Cities:* Mississauga
Store Location:* 7295 West Credit Avenue
Employment Type:* Full Time

Associate Manager, Data Science Resume Examples & Samples

Direct a team on research, planning, and budget across multiple large and small-scale methodology projects
Provide guidance and feedback on research plans and testing strategies
Provide input on the use of qualitative and quantitative methods to improve survey methods and recruitment approaches
Build and maintain relationships with cross-functional leaders and external vendors. Manage stakeholder feedback as needed
Effectively communicate project requirements, status updates, and results to internal and external audiences
Provide consultation on methodological and procedural factors that impact respondent cooperation and data quality such as questionnaire design and survey mode effects
Review and provide guidance on analysis of complex survey/panel data including developing data files, conducting quality reviews , data editing, documentation, weighting, and imputation
Author and review technical proposals, reports, and articles. Present research to internal stakeholders and at research conferences
Master’s degree or PhD in Social or Behavioral/Social Sciences field such as Survey Methodology, Statistics/Sampling, Psychology, Sociology or related field or Bachelors with 5+ years research experience
Experience managing a small team in a research setting for 1+ years
Knowledge of multiple modes of data collection methods
Ability to explain complex research concepts to individuals without a survey research background
Quantitative research and analysis skills including competence with statistical software (Python preferred)
Experience with Google Suite (Gmail, Docs, Sheets, Slides, Drive, etc.)
Proficiency in non-English languages and understanding of multiple cultures
Knowledge of advanced cognitive or behavioral methodologies (e.g. eye tracking)

Manager, Data Science / Methodology Resume Examples & Samples

A Masters’ degree in Statistics, Economics, Econometrics or a related field
Significant relevant experience in quantitative analytics analyzing big data and methodology
Practical data analysis experience gained within the healthcare industry
Leadership and people management experience
Outstanding communication skills

Senior Manager, Data Science Integration Resume Examples & Samples

Leads the development of data science products, projects, or initiatives directly in support of business operations and the integration of the Data Science Team through leveraging data mining, predictive analytics, and statistical analysis
Deploy technologies such as API's, software front-ends, and data visualizations to influence internal and external client teams to adopt, support, or integrate data science products, projects, or initiatives directly into operational systems and processes
Drive impactful change through the coordination of multiple work-streams of teams, both internal and external to the department, typically involving analytical projects and initiatives of a larger scale that involve complex data science concepts
Creates actionable recommendations and insights to address business objectives through the ad-hoc analysis and modeling of quantitative and qualitative data
Participates in data intake, extraction, and ingestion processes to align priorities and define clear requirements based upon business value
Consistent exercise of independent judgement and discretion in matters of significance
Generally requires 8-11 years of related job experience
Experience leading work streams or projects with minimal supervision or oversight from management
Experience with business intelligence tools such as SAS, SQL, and Tableau
Strong problem solving and critical thinking skills
Ability to work through ambiguous situations to drive work product delivery
Personal initiative to find opportunities and drive results working independently
Expert skills in MS PowerPoint and Excel

HBO Manager, Data Science Resume Examples & Samples

Provide analytic consultation in the design of experiments (A|B, multi-variate, latin square etc.) that support HBO digital initiatives including website and streaming application design, streaming application feature utilization and in-app and digital marketing efforts
Manage the design, execution and analysis of all tests conducted in collaboration with counterparts in Digital Products and Consumer Marketing
Facilitate the design, implementation and enhancement of analytic solutions aimed at optimizing consumer engagement within and across HBO’s digital platforms (including HBO NOW, HBO GO and HBO.com)

Manager, Data Science Resume Examples & Samples

Define, build, and lead a team of data scientists, research scientists, applied scientists and data engineers
Discover areas of the customer experience that can be automated through machine learning to make paying at Amazon even easier
Be a thought leader on data systems, data mining and analysis to scale our capabilities, uncover trends and develop insights
6+ years of work experience in data analysis, applied statistics or econometrics
Master's degree or Ph.D. in statistics, econometrics, mathematics, or similarly quantitative field
Experience building data teams from the ground up

Manager Data Science HR Analytics Resume Examples & Samples

Builds, manages and enhances advanced decision support and predictive models that provide reliable outcomes
Researches and develops new analytical methods and techniques that can be deployed across multiple use cases and used by other analysts
Models business scenarios with data that be used for forecasting, hypothesis testing, as well as educating stakeholders on possible outcomes
Identifies new relevant data or data gathering techniques that can be used to enhance advanced analysis
Provides guidance to other analysts around tools and techniques to build/test models
Develops innovative testing, validation as well as communication techniques around scenario based testing and modeling
Partners with data steward to identify processes improvements and assess the quality of data for analytics needs
Translates external research and solutions for internal stakeholders from both business and technical groups to enhance current solutions
5+ years of experience with data science and application of data science within an organization context
Deep technical expertise with variety of statistical and algorithm based approaches and ability to craft experiments relevant to the business problem
Proven expertise in developing hypothesis based on the business problem/opportunity and able to develop the right variables and dataset to test it
Strong experience in one or more advanced platforms such as R, Python, or SAS
Ability to identify internal and external data sources as well as variables that need to be considered to improve effectiveness of the solution
Ability to synthesize and translate scientific outcomes into management summaries and differentiate between exploratory and explanatory methods
Ability to conduct meaningful research and deploy new analytical practices and approaches
Prior experience within HR or building people models

Project Manager, Data Science, Sequencing Resume Examples & Samples

Manage Software Development project activities for multiple projects across all project phases, including initiation, planning, execution, monitoring, control and closure
Manage Algorithm Development and Machine Learning project timelines
Work collaboratively with development team, lead architect and the development lead to determine technical direction and approach to system design and implementation,
Including both products and supporting systems
Create, manage and track project vehicles, including, but not limited to: Project schedules, detailed project plans, project scope statements, cost estimates, resource plans, risk and issues logs, and status reports
Tailor project management, development and support processes to meet the needs of individual (new and/or ongoing) projects. Depending on the nature of the project, management approach may need to be robust to significant levels of planning uncertainty
Managing external vendors and contractors to ensure timeliness and quality of deliverables
Make decisions and communicate trade‐offs and risks; drive key decisions across projects, and across functions within Roche

Snr Manager Data Science Resume Examples & Samples

Define strategy and roadmap for the BI and Data Science activities that support our EU Supply Chain Automation vision
Create forecast automation strategies to reduce the lead time from product idea generation to its rollout across multiple countries
Develop key metrics and performance indicators to evaluate overall financial performance
Design and implement data pipelines and workflows (e.g. Amazon Redshift, Oracle Data Warehouse)
Identify data process flows, data corruption; propose and implement solutions
Mine databases and perform statistical analysis of historical and forecasted time series
Design and operate an anomaly detection model
Design calculation automated processes
Create automated metrics and alarm systems using complex and design innovative data visualization in the context of high dimensionality
Iterate with our global software product development team to improve data workflows and foster innovation
Master’s degree or higher in Engineering, Math, Finance, Statistics, Computer Science, or other technical field from an accredited university
Proficiency in statistical analysis, regression modeling and forecasting, time series analysis, data mining and demand modeling
Proficiency with R or Pyhton (inc. ML packages), SQL, Tableau, Microsoft Excel
Mastery of relational SQL database and data warehousing
Experience using one or more Python, Java, C++ programming languages
Experience processing, filtering, and presenting large quantities (up to several dozens millions of rows) of data
Strong quantitative and qualitative experience in Logistics/Supply Chain, Transportation, Retail or Engineering
Experience in Operations Research and algorithmic optimization problems
Strong experience of Amazon Redshift and AWS
Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds

Manager, Data Science Resume Examples & Samples

Help build machine learning models (including predictive models and recommender systems), mine data to detect for patterns, opportunities and insights using appropriate suite of software with a data product as the end goal
Oversee the continued development of the analytic capabilities within the Network, identify opportunities to improve the processes and streamline activities
Participate in the development and testing process of future products
5+ years working in a data analysis environment, market research, promotion/advertising
Experience in syndicated research &/or consumer packaged goods preferred
Ability to extract, transform and clean data sets from multiple sources
Advanced knowledge of SQL
Familiarity managing, querying and aggregating large data in a Hadoop environment
Experience with web analytics, online recommendation systems, reinforcement learning and multivariate testing preferred
Market Research, Retail / Grocery marketing and CPG experience a plus
Strong listening skills
Written communications are succinct, clear and complete

Senior Manager, Data Science Resume Examples & Samples

Apply advanced data mining techniques to build models to optimize inbound and outbound marketing activities in customer journey (customer acquisition, upsell and cross-sell, and customer experience and retention)
Collaborate with cross-functional teams on implementing models and evaluating the effectiveness of marketing tactics
Support monetization efforts through predictive modeling, iterative pilot, and analysis
Guide and develop reports, visualization, and key performance indexes to track effectiveness of marketing and guide marketing decisions
Manage outside modeling vendors and monitor project progress to ensure high-quality delivery of predictive models
Use big data technologies to scale predictive models to larger dataset
Manage Data science project and mentor junior data scientists
MBA or Masters in Applied Statistics, Operations Research, Computer Science or another related field
8+ years of experience solving complex business problems with advanced analytics/data
4+ years managing analytic/data focused teams, preferably in a large enterprise environment
Demonstrated success in leading and developing highly technical teams
Strong experience working with large data sets and advanced analytical tools and programming languages (R, Python)
Experience using SQL to query databases
Practical experience/working knowledge of various machine learning algorithms and statistical methods and how to apply to business applications
A strong background in customer profiling and segmentation, predictive statistical modeling, and collaborative filtering
Working experience on different enterprise reporting system: Cognos, Business Object, Tableau, Siebel, Omniture, etc
Ability to communicate insights using PowerPoint, Word, and Excel to technical and non-technical audiences
Proficiency in Java, Scala, or Spark
Experience with big data computing infrastructure such as Hadoop, Spark, AWS, etc
Experience on IBM’s integrated marketing system (Campaign, Interact, Leads, and eMessage)
Experience in Tableau

Manager, Data Science Resume Examples & Samples

7+ years of relevant experience in marketing analytics and statistical modeling
With at least 2 years of experience in the financial services industry preferred
Strong knowledge of advanced statistical principles such as linear regression, logistic regression, multivariate analysis techniques, principle component analysis, discriminant analysis, and experimental design
Proven ability to develop sophisticated forecasting models
Superior analytical skills with ability to solve complex problems and execute on solutions
Great business sense with the ability of understanding multi-dimensional business problems and developing innovative and practical solutions to deliver superior business results
Expert knowledge of the SAS analysis tool — Proficiency in SAS/Base and SAS/STAT
Experience working in UNIX environment
Familiarity with relational databases (such as Oracle, DB2 or Teradata), and proficiency in SQL to extract data from a relational database
Extensive experience with large data sets and data manipulation
Strong oral and written communication skills, and proficiency in Microsoft Office
Excellent interpersonal skills – able to communicate effectively
Ability to work well independently as well as in a team environment – collaborative team culture
Ability to multi-task, handle multiple projects with demonstrated follow-through
Project management skills
Previous experience in e-marketing and /or extensive financial industry experience
Familiarity with digital channel marketing is a plus
Previous experience working with Hadoop environment is a plus

Program Manager, Data Science Engineering Resume Examples & Samples

3+ years' experience in the following areas
Program Manager, managing complex technical Projects in a SW data science engineering environment
Waterfall and Agile software development and management processes and practices
Problem identification, solution recommendation and implementation
International team leadership

Manager, Data Science & Data Engineering Resume Examples & Samples

3+ years industry experience writing and optimizing queries in languages such as SQL and CQL
2+ years industry experience in working independently within a cross-functional engineering team
2+ years of experience in developing a data pipeline with custom ETL that accommodates batch and streaming analytics
2+ years of experience in using distributed computing architectures such as AWS products (e.g. EC2, Redshift, EMR), Hadoop, Spark and effective use of map-reduce, SQL and Cassandra to solve big data type problems
Experience in developing production software in languages such as Ruby, Java, Python
Experience with modeling and analysis, statistics, machine learning, and/or large-scale data mining
The ability to explain deeply technical concepts, algorithms and products to colleagues of various technical levels is a must have
3+ years of experience with column oriented databases (e.g. Redshift, Snowflake, Vertica) and optimizing dimensional warehouse data models is a plus, but not required

Senior Manager Data Science Resume Examples & Samples

Leads team of data scientists to develop advanced analytics capabilities and mine business insights from FreeWheel's one-of-a-kind dataset on digital video viewing and advertising consumption
Guides data science team to identify & evaluate opportunities for automating existing data processes and building scalable analytical tools to put the power of data into the hands of more users
Manages the development and enhancement of data-driven consulting solutions; recommends new business models for how Advisory Services can deliver value through FreeWheel's expansive dataset
Collaborates with Advisory Services managers to gather use cases for data and advanced analytics; transforms use cases into tactical solutions and methods to be deployed across strategic, operational and technical projects
Builds and presents business cases to evaluate the ROI of building new applications and tools
Works closely with leadership in Engineering and Product Management to establish database structures, data models and new products that enhance client insight
Acts as subject matter expert for advanced analytical techniques

Manager, Data Science Resume Examples & Samples

Bachelor’s degree in Information Technology, Computer Science, Mathematics or comparable
Continuing education in Statistics, Data Science or Mathematics is preferred
5+ years of experience applying data science, data mining and statistical techniques within an organization
Experience with statistical tools like SAS and R
Experience with programming languages like Python, Java and C++
Experience with analytical tools like Matlab and SPSS is a plus
Proficiency with machine learning algorithms such as clustering and random forests
Experience with enterprise business intelligence solutions like MicroStrategy is a plus
Strong relational database knowledge and SQL skills is preferred
Experience with NoSQL, search, in-memory and/or columnar databases is a plus
Experience with AWS and building distributed systems to use Hadoop and Spark
Skilled at profiling, validating and cleansing data
Strong knowledge of information visualization best practices and strategies
Ability to work on multiple projects concurrently with shifting priorities
Proven track record of developing teams and creating a trusting/open culture
Team player with positive attitude and able to work with a variety of people at all organizational levels
Effective and clear communication skills
Wine or Beer industry, three-tier system, business/systems analysis and change management experience is a plus

Manager, Data Science Resume Examples & Samples

At least 3-5 years’ hands-on, proven experience in a digital analyst or data scientist role
Undergraduate degree in any science involving math and analytics (e.g. business, statistics, engineering, physics, etc.). Graduate degree preferred but not required
Managing and working with big-data - media consumption
Digital Analytical Applications

Assistant Manager Data Science & Architecture Resume Examples & Samples

Minimum Master’s Degree in Computer Science, Electronic Engineering or equivalent
At least 5 years of relevant experience as data scientist in Financial Services or Retail
Experience in working in Financial Services Business would be preferred but it is not required
Excellent understanding of machine learning techniques and algorithms, such as Decision Trees and Random Forest, Neural Networks, k-NN, Naive Bayes, SVM, etc
Experience with common data science toolkits, such as R, SPSS, knime, Weka, NumPy, MatLab, etc. Excellence in at least R is highly desirable
Proficiency in SQL, skills in Hive or Pig are preferable but nor required
Good scripting skills
Excellent communication skills in both written and oral with cross-cultural competence

Project Manager, Data Science Resume Examples & Samples

Leading Data Science Engineers, Data Scientists, and the rest of a project team to stay on schedule
Running SCRUM standups, monitoring burn down charts, and coordinating retrospectives
Building reports for senior leadershipCapturing meeting minutes and driving follow-ups
Owning task estimation, and identifying critical path impediments
Becoming the product expert for your project
Facilitating cross department communications
Defining resources and schedule for project implementation
Anticipating bottlenecks, providing escalation management, anticipating and making tradeoffs, and balance business needs against technical constraints to meet committed timelines
Gaining consensus on technical decisions and drive software engineering best practices to deliver high quality results

India Manager, Data Science Engineering, PDS Resume Examples & Samples

Single point-of-contact for India's DSE & PDS team interface with system owners (IT, Core Infrastructure teams, etc.)
Design, monitor and maintain QA reports, KPIs & quality trends for each component and overall system
Help support production,qa & dev systems and prepare appropriate training curriculum
Hire a rock star team of Big Data engineers, Big Data Quality Assurance Analyst, Visualization Experts, Support & Training staff
Own the solution design and lead the technical development of data visualization projects. Define the overall solution architecture needed to implement a secure and reliable self-service reporting environment
Proactively identify performance problems and drive the team to remediate them. Advocate architectural and code improvements to the team to improve execution speed and reliability
Analyze data to confirm relationships and identify potential data quality issues
Execute and automate test cases, and perform bug tracking and management
Help create and implement quality processes and requirements
Implement ETL monitoring processes and automated data quality checks
Consult with upstream system owners to acquire data from new source environments
Consult with downstream data consumers to determine their needs; help define business logic and implementation plans
Work closely with team Data Scientists and Analysts to design and build visualizations and reports that drive value for product decisions
Coordinate on daily bases with PDS and DSE team members in USA to plan on project priorities, production & qa issues, development & support
Convey a self-motivated, pragmatic, get-it-done attitude to the rest of the team

Senior Manager, Data Science Resume Examples & Samples

Leading a team of data scientists within ODC's measurement R&D org
Effectively communicating with other members of data science, product management, engineering, and senior business leaders to facilitate broader analytics understanding
MS or PhD in Statistics, Biostatistics or related field with 5+ years of experience
1+ year experience managing a team of data scientists
5+ years experience working with ‘big data’. Marketing analytics and causal inference experience is a big plus
The desire to continually learn and test your own boundaries

Manager Data Science & Statistics Resume Examples & Samples

Lead a team to develop novel applications for large account clients and process substantial data sets using cutting edge algorithms
This is a technical position requiring analytical and market research expertise, preferably with experience working with very large data sets
Ability to communicate effectively across internal teams and external stakeholders with a wide variety of statistical backgrounds
This is a key position in the survey research group with high potential for advancement and growth
Master’s Degree in Statistics, Operations Research, Economics, Social Sciences or similar degree with a focus on statistical methodology (PhD preferred but not required)
3-5 years of professional experience (non academic)
Programming experience in R, MATLAB, or python (R strongly preferred)
Experience with basic SQL querying
Experience managing a team of at least two direct employees
Ability to autonomously manage multiple projects simultaneously, in a rapidly changing environment
Dedication to innovation and continuous improvement
Experience working with Big Data Analytics (e.g. Hadoop, SQL)
Familiarity with time-series models (state space representations and Bayesian structural equation modeling) and categorical outcome modeling (Generalized Linear Models or Limited Dependent Variables)
Experience with Digital Market Research
Machine Learning - Clustering and Classification
Experience leading small teams in production and research environments
LI-EB1

Manager, Data Science, Pdag Resume Examples & Samples

Define, build, and lead a team of applied scientists, data scientists and data engineers
Be the voice of analytics, own key business metrics, support in-depth business reviews and present to senior management
Collaborate on product direction: You’ll build and maintain strong relationships between engineering and partner disciplines (Product, User Experience, QA) to ensure that we're focused on delivering the right product for customers
Partner with Product Management teams to drive requirements for new products and integrate instrumentation during product development
Influence broadly as part of the Products Display Ads leadership team
Bachelor's degree in statistics, econometrics, mathematics, or similarly quantitative field
Proficiency with SQL, SAS, R (or similar tools)
2+ years of experience with statistical modeling tools (R, Python, SAS, etc
2+ year of experience with advanced SQL, and scalable data storage and processing systems
Experience with customer segmentation and customer behavior analysis
Partner with engineers to translate user actions into business insights

Technology Manager Data Science Amazon Web Services AWS Resume Examples & Samples

Maintains oversight of platforms, technology stack and operations for AWS data lake
Manages projects and customer relationships of critical importance
Integrating Big Data analytics with enterprise systems. DW and data marts, a strong plus
Drives rapid prototyping and designs for projects and analytic R&D environments
Maintains current knowledge of Big Data & IoT developments, opportunities, and challenges
Develops and maintains technology and platform roadmap
Develops advanced/leading-edge technologies and/or concepts
Strategically supports key business objectives
Develops innovative solutions, systems and products to support objectives across multiple business functions
Builds external alliances to gain and share information and industry trends
BS in Computer Science, Engineering, Statistics, Applied Math or equivalent
10 years of relevant work experience. 3+ years of experience designing and developing cloud based solutions (preferably through AWS)
Proficiency in using R, Matlab, Python, other statistical modeling packages, with a focus on machine learning; experience with NLP a plus
Proficiency in developing production systems for processing large volumes of structured and unstructured data. Previous experience with Hadoop technology stack (Map reduce, HIVE/PIG, etc)
Solid understanding of ETL architectures, database technologies, performance optimization, and building communication channels between structured and unstructured databases
Track record of success required, including effectively leading and managing diverse business functions and multiple projects with a variety of stakeholders
Excellent analytical and decision making skills

Senior Manager, Data Science Resume Examples & Samples

Help drive development of a data-driven decision making culture
Assess and understand all key structured and unstructured data sources. Lead initiatives around a global data architecture strategy toward globally harmonized data structure, partnering with business information systems (BIS)
Be a critical team member in leading the development and deployment of analytical tools and data science techniques to analyze large data sets and develop custom models/algorithms to uncover trends, patterns and insights in the data
Partnering with Director, Advanced Analytics, help develop Growth Driver Model (GDM) as a media analytics tool using MMM, and deploy globally where it's needed
Partnering with external analytics agency and internal stakeholders, help implement a consumer Demand tracking tool, leveraging social media data, for the markets where Demand Spaces were implemented
Utilizing POS data, help develop & globally deploy an indicator system that informs market share (SOM) for revenue management
Take lead to drive development of Mega-Cube as a data meshing, multi-lens reporting tool that allows for data profiling in multiple lenses simultaneously, e.g., in consumption demands, shopper missions, sales channels, etc
Monitor data science trends, emerging tools and technologies, and support strategic leadership in developing common, best and continually improving framework, processes and best practices for predictive science
Provide support for analytics work within the Regions, ensuring it is in alignment with global analytics agenda and rigor
Lead the initiative to drive training agenda to foster greater analytical capabilities in the industry
BA/BS required, advanced degree in a quantitative field strongly preferred
6-8+ years of experience required in market research/insights/analytics, competitive intelligence or other similar function with demonstrated ability to manage function in a complex environment with multiple constituencies
Minimum 4 years of experience is required in an Advanced Analytics function
Strong understanding of current consumer packaged goods trends and best analytic practices
Strong understanding of complex modeling and analytical methodologies including, but not limited to, market segmentation, factor analysis, longitudinal/time-series analysis, and predictive analysis. Familiarity with Big data mining and machine learning tools (e.g., Hadoop, Spark) is a plus
Power user of statistical software package such as SPSS, SAS and/or R. Statistical coding and algorithm development capability (e.g., R, Python) is a big plus
Familiarity with visualization tools (e.g., Tableau, Spotfire) required
Strong communication skills to be able to educate and influence senior leaders to act in a desired manner through written and verbal communication
Ability to simplify/translate highly complex analyses and output into easily digestible and actionable insights for business impact
Ability to prioritize multiple initiatives and projects with competing deadlines, and accordingly align with internal stakeholders

Innovation Technical Manager, Data Science Resume Examples & Samples

PhD required (Computer Science, Mathematics)
Prefer 20 years’ cumulative experience working in Data Science, Information Systems, Product Development, and Research
Recognized expert by peers (publications/invited/patents talks)
Program Manager/Manager of a Data Science Group (approximately 5 years)
Principal Investigator/lead - of over $100M in R&D desired
Experience developing and deploying multiple software products/platforms/technologies in government/commercial use

Manager, Data Science Resume Examples & Samples

Have ownership over the development of key statistical models by
Managing projects involving the coding and development of new models, including developing project plans, setting and managing expectations, and delivering results through self and/or others
Analyzing and/or supervising analysis on vast amounts of complex pricing-related data, applying statistical/machine learning/other unique methods to develop/validate/improve predictive models and to identify data integrity issues
Drive CarMax’s development of data science expertise by
Assessing the methodologies and processes used to develop and manage models
Encouraging, challenging, and influencing others within the Strategy group, and other departments in the development of our modeling capability strategic roadmap
Communicate how our models work throughout the organization, both at a general level and a detailed level
Proven track record for managing model development projects and supporting analytical models deployed within critical business processes
Ability to influence at all levels of organization
Experience managing team-based projects and delivering timely results
Desire to continue developing into an organizational leader
Base: Undergraduate degree in a quantitative discipline
Preferred: Graduate degree in statistics, data science, or related field
Base: 4 years of experience in a broad range of data science and statistical modeling methodologies
Preferred: Experience using SQL and Python to analyze big data sets
Preferred: Experience managing/leading a team or cross-functional projects
Ability to make a large impact on a Fortune 500 company
Play key role in driving company’s strategy
Despite being undisputed market leader, CarMax only has a 4% market share of the late-model used car market, allowing room for exponential growth
Large focus on professional development
Our leaders are heavily invested in helping managers hone their technical, communication, leadership, and other skills
Good work/life balance; we work hard, but enjoy very reasonable hours
Work with a close knit team in a fun and casual environment. The broader Strategy Group at CarMax consists of 100+ analysts with stellar work and academic backgrounds contributing to our collaborative atmosphere

Manager, Data Science Resume Examples & Samples

Lead the collaboration with statistical modeling experts to rapidly deploy newly developed models
Own the maintenance/enhancing of model performance, data integrity, and system reliability by
Assessing and improving methodologies and processes used to develop and manage models
Analyzing and/or supervising analysis on vast amounts of complex pricing-related data
Partnering across the organization to create processes for identifying and fixing system issues
Researching innovations and best practices related to data science techniques and processing large data sets
Encouraging, challenging, and influencing others within the Strategy group, IT, and other departments in the development of our data technology roadmap
Communicate how our systems work throughout the organization, both at a general level and a detailed level
Strong technical skills and a desire to continue to grow those skills
Proven track record for using analytics and production systems to make business decisions
Ability to explore newer open source big data technologies like Hadoop, cloud, etc
Preferred: Graduate degree in data science, computer science, or related field
Base: 4 years of experience in data science and/or systems development

Manager Data Science Resume Examples & Samples

Three years supervisory or management experience
Five years experience working with R, Java, Python, SAS, SPSS or other predictive modeling tools
Five years experience in advanced math and statistics
Five years experience working with Hadoop, a NoSQL Database or other big data infrastructure
Five years experience actively engaged in data science or some other research-oriented activity

Manager, Data Science Operations Resume Examples & Samples

Plans, coordinates and manages key corporate milestones such as accruals, forecasts, and operating plan preparation
Assures a regular and valued schedule of departmental meetings designed to disseminate scientific and business information within the group
Maintains resource planning across Data Science functions in concert with the functional leaders
Owner of collaboration tools within Data Science such as the document repository and Ironworks space
Provides comprehensive status updates to functional leaders within Data Science
Implements standards grounded in best practices that are high impact and builds work tools to facilitate the efficient and compliant operation of Data Science
Degree in Biostatistics, Clinical Data Management, Statistical Programming, Study Endpoints, or HEOR, or familiarity with these areas
Minimum 3 years of relevant pharmaceutical/biotechnology experience
Ability to travel on occasion

Manager Data Science Resume Examples & Samples

Leads a team of professionals to determine the financial impact and profitability of retail initiatives specifically regarding credit offer profitability and the optimization of credit offers across the loan portfolio
Requires credit and financial experience in retail/consumer marketplace to manage data gathering, modeling and reporting activities related to industry analysis
Must look for creative ways to benchmark against competitors and be in close contact with marketing competitive intelligence
Programming capability in R and SAS. Python programming skills a plus
Practical experience with utilizing data from within a distributed file structure

Manager, Data Science Resume Examples & Samples

Drive the data science roadmap for the Simulation team
Apply domain knowledge and business judgment to identify opportunities to optimize Amazon’s supply chain and quantify impact. Develop strategies and/or models for new experiments or improvements to existing algorithms
Drive projects and metrics to improve simulation validity through improvements in fidelity, accuracy and performance
Engage directly with software teams and product managers to shape the software product roadmap and prioritization
Present regular updates to senior leaderships on projects, metrics and business insights
Build and develop the data science team and mentor team members for their career development and growth
Be data-driven, details driven and frequently audit the quality and scalability of solutions
Be efficient in aligning data science direction to business requirement and make the right judgment on project prioritization
Ph.D. in Operations Research, Computer Science, Applied Mathematics, or a closely related field. More than 6 years of industrial/academic experience in supply chain management, inventory management, large scale simulation, and mathematical modeling
Expertise in one of the relevant areas: probability theory, queuing theory, simulation, decision analysis, stochastic models, system dynamics, and predictive modeling

Manager Data Science Resume Examples & Samples

Group Leadership:Build, foster and develop the career and capability growth of her/his team members. Set and monitor project schedules, communicate progress to the larger team. Provide technical leadership and nurture a climate of open creative collaboration with his/her team and with other colleagues
Prototyping:Create prototypes of productizable ways to perform the analysis at scale, provide documentation and help educate your colleagues in different function about the solution
5+ years of experience in leadership positions with similar roles and responsibilities
Strong expertise of fundamental data mining and statistics concepts and familiarity with real-world applications of these techniques
Strong expertise of SQL in its various forms for traditional databases and distributed computing environments
Proven exceptional people management skills in a high pressure, high visibility product development or data science environment with the ability to generate and sustain excitement

Manager, Data Science Resume Examples & Samples

Graduate degree in engineering, computer science, or mathematics, and 10+ years of related experience OR a PhD and 5+ years of related work experience
Knowledge in multiple speech and natural language areas
Experience in building complex, real-time software systems involving speech recognition & natural language algorithms that have been successfully delivered to customers, preferably on mobile devices
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Ability to rapidly prototype and evaluate customer applications and interaction methodologies
Excellent written and verbal technical communication. Able to explain complex solutions in easy-to-understand terms

Manager, Data Science Resume Examples & Samples

Design and maintain the data management and analytics environment to enable analytic solutions
Supervise department statistician
Provide advanced analytic support and share statistical rigor best practices with analysts
Identify optimal statistical methods and test designs for analytic needs

Manager, Data Science Resume Examples & Samples

Design and implement solutions for Coyotes growing predictive and prescriptive analytics suite
Develop and manage the strategic approach, performance and continuous improvement process of all Data Science solutions
Create, test and tune predictive and prescriptive models leveraging any combination of relevant disciplines
Come in every day with an eagerness to learn, teach and collaborate
5+ years of experience in machine learning and predictive modeling at a professional level
Strong communication skills and the ability to explain complex solutions to a non-technical audience
Strong quantitative analysis, programming, and statistical modeling skills coupled with the ability to mentor and train junior team members on the same
Expert in Python, SciKit-Learn, TensorFlow or similar
Experience manipulating, compiling and processing large data sets
Proficiency in MS SQL or similar highly preferred
A healthy appetite of curiosity coupled with creative problem solving
Background in Supply Chain or Transportation oriented field
Azure Machine Learning Studio
Flask
.NET, C#

Senior Manager Data Science Resume Examples & Samples

Should be knowledgeable with a reporting tool - Tableau, BO, Microstrategy, Spotfire
Analytic tools like MySQL, R, Python, etc would be necessary
Strong knowledge in Predictive Analytics, Forecasting, Data Mining, Optimization, Econometrics, clustering techniques & simulation
Experience with database management a plus
Good understanding of Supply Chain, Enterprise Manufacturing Solutions & Financial Consolidations
Highly organized, detail oriented and a creative problem solver
Strategic thinker with strong analytical skills and the ability to connect disparate data sources into a straightforward, insightful story
Excellent communication and presentation skills to effectively report findings and influence change within the organization
MS in Stats or Operational Research or Industrial Research is highly preferred – from a very well reputed and recognized college, Analytics Certifications or specialization desirable

Product Manager Data Science Resume Examples & Samples

Work with our customers to understand and evaluate data science use-cases appropriate for their business along with the ecosystem of products and tools that are involved in satisfying their needs
Collaborate with customer teams to help formulate problems, guide solution development, and compare/contrast data architectures
Create prototypes in R, Python, Java, Scala or similar to demonstrate the results of various algorithmic approaches, evaluate their performance, and articulate challenges in tooling, debugging, and usage of existing components
Own the product roadmap as it relates to data science, lead the product feature planning process and work closely with engineering to ensure successful delivery
Define, track and interpret key business metrics to track overall product success
Understand the market and competition, and develop product and competitive positioning
Work collaboratively with and engage engineering leaders both within Hortonworks and within the open source community
Support field enablement and other go-to-market activities
BS or MS in Computer Science, statistics, applied math or equivalent
Proficiency in R, Matlab, Python Scikit-learn or other statistical modeling package / environment, with a focus on machine learning; experience with NLP a plus
Experience developing production systems for processing large volumes of structured and unstructured data in Java, Python or similar technology stack
Experience working with Agile development process with frequent release cycles
Good knowledge of Hadoop technology stack (MapReduce, Hive, Pig, Mahout, Spark, etc.)
Excellent verbal and written communication skills. Strong team player, capable of working collaboratively within and across internal and customer teams

Senior Manager, Data Science & Analytics Resume Examples & Samples

Rock star SQL
7+ years in complex data environments
7+ years deep analytical background
Expert in Tableau with knowledge of Python or R
3-5 years of experience managing a team
Deep understanding of process and workflow to maximize team efficiency
Leader by example and nomination. Your reports admire you, like you and want to follow you
Deep knowledge of driving analytic insights, business intelligence, and data science
Data modeling, data dictionary and business glossary creation
A stickler for quality with a healthy dose of pragmatism
Nice. Angry people make us angry
Bachelor’s degree in a technical/scientific field or equivalent work experience

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