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Perform sophisticated card fraud analyses and strategy support using advanced analytics & data science tools to provide actionable insights and real-time changes to card fraud detection tools that improve business outcomes and minimize fraud risk.
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GPA of 3.5 or higher is preferred Common areas of study include but are not limited to: Economics Data Science Financial, Stochastic, and other applied Math Statistics and econometrics Computer Science Engineering Operations Research Other sciences, such as Physics Candidates should possess a high level of intellectual curiosity, a drive for excellence, and a commitment to achieving sustainable results.
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Function as the MSA and Fintech conduit with VCA North America (Segment Leaders, Practices, Solutions, and Data Science) and teams outside of VCA (Account Executives, Product Teams) to drive integration across the solution lifecycle (planning, requirements, design, testing, commercialization, and rollout.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. WHAT YOU WILL CONTRIBUTEThe Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team.
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Exposure Data Modeling using Star/Snowflake Schema Design, Data Marts, Relational and Dimensional Data Modeling, Slowly Changing Dimensions, Fact and Dimensional tables, Physical and Logical data modeling Produce client deliverables such as detailed design documentation, configuration documentation, unit test plans, and training curriculum Required Qualifications: A bachelor's degree in Computer Science or a related field.
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Characteristics that can spell success for this role: Autonomous, enterprising, and positive thinkerResilient, adaptable, flexibleIntellectually curious and passionate about techStoryteller and engaging content creatorRelationship builderAnalyticalLead the delivery of a broad range of Data, Analytics, Advanced Analytics, Visualization, Data Science, RPA and AI/GenAI related Strategy / Advisory engagements.
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Opportunities are offered in a variety of disciplines including Application Development, Cybersecurity, Data Science and Business Analytics, Information Protection, Network Design, Product Management, Project Management, Systems Analysis, Systems Architecture, Systems Integration, and User Experience Design.
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Each client, deal and situation is unique and the ability to translate data into actionable insights for our clients is crucial to our continued successThe PwC Deal Analytics practice is a blend of deals and consulting professionals with a diverse set of skills and backgrounds including financial, commercial, operational and data science.
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Data Analytics LeadKey Role:Support the business through data science and artificial intelligence. Work with leadership to help identify opportunities to grow AI and data science in the Federal civilian market.
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Proven experience in advanced analytics, data science, or a similar role. Qualifications:Education: Preferred Masters degree from an accredited University in a Quantiative field of study such as Data Science, Math, Statistics, Engineering or Physics.
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This role will drive critical cross-functional strategies and will partner closely with sales, marketing, product management, data engineering, data analytics, data science and other cross functional partners.
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Work closely with Consumer Insights, Customer Analytics, Data Science, Marketing, and Media teams to develop learning agendas, media strategies, and measurement approaches. Work with the Data Science team to deliver Media Mix Model analysis to each of the 6 Inspire Brands.
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Advanced degree in a quantitative field such as Data Science/Analytics, Statistics, Economics, Mathematics, Operations Research, etc. Hands-on experience with processing and analyzing large data files using SQL, Python, or other similar programming languages.
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Data Science, Machine Learning, or Deep Learning experience is a plus. As a Manager on our Client Analytics team, you will leverage Cardlytics' transactional data to grow and nurture relationships with client teams within the Emerging Accounts vertical.
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Services include Data Discovery and Analysis, Data Prep and Integration, Self-Service Analytics, Data Visualization and Reporting, Data Science and Advanced Analytics, and Strategy Enablement.
$155,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago
data science jobs Title: analytics in Atlanta, GA
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