Senior Decision Scientist - Super App Analytics

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.

**Hybrid work schedule based in our NYC office. Must be able to commute to NYC 3 days per week every other week.
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Join the Consumer Engagement Analytics team for an opportunity to leverage advanced analytics, experimentation, causal inference, and strategic problem solving to grow products at CVS Health.

As a team supporting the CVS 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 app 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.

A successful candidate will be one which is able to think independently and critically, enjoys ambiguous problems with data, highly adaptable, and loves to collaborate with both technical and non-technical leaders.
 

Additional responsibilities include:

• Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and broad knowledge of the organization and/or industry
• Collaborates with business partners to understand their problems and goals, develop predictive models,  statistical analyses, data reports and performance metrics
• Develops and participates in presentations with business partners to share analyses and drive product strategy
• Use strong programming skills to explore, examine and interpret large volumes of data in various formats

Required Qualifications:

• 3+ years of experience utilizing Python and SQL
• 3+ years of 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
• 2+ years of experience preparing data for analysis, working with data engineering team to create modeling dataset, assess completeness and quality of data, and perform feature engineering
• 2+ years of experience applying knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
• 2+ years of experience with experimental design and measurement

Preferred Qualifications:

• Experience designing online experiments (AB testing)
• Demonstrates strong ability to communicate technical concepts and implications to business partners
• Ability to communicate effectively and confidently with business partners, project team members, and senior management
• Ability to anticipate and prevent problems and roadblocks before they occur
• Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, experiment design, and predictive modeling and in-depth specialization in some areas

Education:

• Master's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
• PhD in related discipline desired

Pay Range

The typical pay range for this role is:

$106,605.00 - $206,000.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
 
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities.  The Company offers a fu