Data Scientist

Pharmacy And Consumer Wellness Operations AnalyticsWe're building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.The Pharmacy and Consumer Wellness Operations Analytics team is helping lead the effort to transform healthcare and drive improved consumer experience by partnering with key business areas across CVS Health to deliver impactful analytic solutions and insights. As a member of this team within Analytics & Behavior Change (A&BC) Data Science team, you will be at the forefront of delivering high visibility analytic projects for key CVS Retail strategic priorities. Specifically, you will have the opportunity to drive revenue and profitability in CVS Health's Retail Pharmacy business with end-to-end analytical solutions. You will have the chance to solve complex problems, build predictive models and simulate impact of business decisions to improve profitability.We are a fast-paced team focused on building innovative analytic solutions using advanced analytics and cloud capabilities. Within our team, we believe a cutting-edge analytics product can only be delivered if every aspect of the solution from data to model to front end UI is fully designed and developed by SMEs within the team. As a Decision Scientist, you will be part of a team driving pharmacy contracting and profitability analytics. You will be working with stakeholders and team members to identify/refine problem statement, develop options to provide analytics solutions, determine methodology to quantify the impact and develop impactful visualizations/presentations to tell the story. We are looking for talented individuals who have a strong sense of teamwork, accountability, and a desire to deliver high quality end to end intuitive and impactful analytic products using advanced data driven approaches.ResponsibilitiesDevelop and present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadershipAct as the point of contact for stakeholders across multiple projects to understand strategic business analytics requirements, create document and communicate project statusLeverage AI tools and techniques that yield solutions to maximize productivity and profitabilityPartner with data scientists and data engineers to define a solution approach and make recommendations.Performs analyses of structured and unstructured data to solve complex business problemsUse data visualization techniques to effectively communicate analytical results and support business decisions.Qualifications5+ years of experience in industry3+ years of experience programming in SQL and Python3+ years of data visualization platforms (Power BI, Tableau etc.) with experience developing POCs as well as end-to-end product implementations1+ years implementing AI based solutions for analytics and business intelligence use casesExpertise in providing strategy and thought leadership around problem statement identification and analytical approachesProficiency in understanding semantic models, data models, and ability to analyze large datasets in cloud platformsStrong knowledge of the underlying mathematical and statistical principles that are foundational to data scienceStrong project management, organizational skills & Strong presentation skills with the ability to present findings and influence others as well as expertise in the use of PowerPointExperience and familiarity with cloud computing like Snowflake Azure, & GCPPreferred QualificationsExperience in financial analyticsDemonstrates strong ability to communicate technical concepts and implications to business partnersAI SavvyAnticipates and prevents problems and roadblocks before they occurStrong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sourcesDemonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areasEducationBachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics, Engineering) with 4–7+ years of relevant experience,ORMaster's degree or equivalent in an analytic discipline with 2+ years of relevant experience.