Data Scientist - CVS Media Exchange

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
 
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
 
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Location: Hybrid in NYC office 3 days a week every other week. Must reside within a commutable distance to Soho office.

About CMX:

CVS Media Exchange [CMX] is dedicated to driving measurable outcomes for our suppliers, merchants, stores, GMs, brand advertisers, and agencies. Our full-funnel ad solutions leverage CVS’s in-store and online data, extensive reach, and to provide measurable results for our clientele. With a range of flexible pricing and buying models, including self-service; these solutions help businesses build brand awareness, engage with CVS consumers, and convert CVS consumers to shoppers. 

As a team supporting enterprise products (CVS Media Exchange and CVS.com / mobile app), you'll be exposed to all the business units within CVS Health. You'll partner closely with business partners to:

• Understand their problems and translate to analytics solutions.
• Analyze customer journeys to identify opportunities to drive more adoption, engagement, retention and conversion.
• Develop personalization capabilities using machine learning to target specific audiences for relevant outreach.
• Design online experiments (AB testing), measure, and optimize
• Leverage techniques like causal inference and MMM to supplement experiments where AB testing is not possible or appropriate.
   

Additional responsibilities include:

• Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
• Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry
• Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics
• Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
• Interacts with internal and external peers and managers to exchange complex information related to areas of specialization
• Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
• Use strong programming skills to explore, examine and interpret large volumes of data in various forms

Required Qualifications:

• 1+ years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems
• 1+ years of experience utilizing Python and SQL
• Experience extracting actionable insights from the analysis and interpreting outcomes of complex models to present to business audiences including technical, non-technical, and senior leaders
• Experience preparing data for analysis, working with data engineering team to create modeling dataset, assess completeness and quality of data, and perform feature engineering
• Experience applying knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
• Experience with experimental design and supervised/unsupervised machine learning approaches

Preferred Qualifications:

• Experience designing online experiments (AB testing) a plus