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.

Join the Consumer Engagement Analytics (CEA) team for an opportunity to leverage advanced analytics, experimentation, causal inference, and strategic problem solving to grow digitally enabled products at CVS Health.
 

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

Location: Hybrid work schedule in New York City (preferred) or Boston area only.

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

• 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:

• Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline

• Master's degree preferred

• Master's degree or PhD in related discipline preferred

Pay Range

The typical pay range for this role is:

$86,520.00 - $173,040.00

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 full range of medical, dental, and vision benefits.  Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees.  The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners.  As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.  
 
For more detailed information on available benefits, please visit Benefits | CVS Health

We anticipate the application window for this opening will close on: 01/31/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.