Data Scientist

Full time

Employment Information

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.

Position Summary

Within the data science department (“Analytics & Behavior Change”), you’ll have the opportunity to drive the next level of PBM (Pharmacy Benefit Manager) member experience and service quality at a leading national healthcare brand.

We’re looking for aspiring analytical enthusiasts to drive efficiency and growth in Caremark’s PBM business, using advanced analytics, predictive modeling, and statistics. We expect the candidate to leverage business acumen and good data storytelling to help Caremark improve member well-being and its product and services. PBM Analytics is one of the key teams within the Analytics & Behavior Change department and partners with the PBM leadership to drive innovation and develop cutiing edge solutions.

This is a hands-on data scientist role, with a combination of business / stakeholder consulting and, data analysis (technical coding, including using machine learning methods).

Required Qualifications

  • Strong SQL skills and experience in programming Python (strongly preferred) or R
  • Ability to communicate technical concepts and implications to non-technical audiences, including experience creating communication materials (e.g., memos, slide decks, etc.)

Preferred Qualifications

  • A strong drive to explore data and make a business impact by applying data science to address specific business problems and the curiosity to dive deep
  • Experience with healthcare or Pharma data, or the desire to be a data explorer
  • Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
  • Proactively identify and mitigate roadblocks and think about solutions
  • Familiarity with Google Cloud Platform (GCP)
  • Prefer Master’s in a quantitative field


  • Bachelor’s degree in quantitative field, or an equivalent combination of formal education and experience.
  • Master’s degree in quantitative field or MBA strongly preferred

Pay Range

The typical pay range for this role is:

$73,500.00 – $170,000.00

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 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

We anticipate the application window for this opening will close on: 04/30/2024


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