At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

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

Education

Bachelor’s degree in quantitative field, or an equivalent combination of formal education and experience.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The Typical Pay Range For This Role Is

$72,100.00 - $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.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great Benefits For Great People

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 06/10/2025

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

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Data Scientist