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 data scientists who thrive in ambiguous, fast-moving environments 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 cutting edge solutions.
This is a hands-on Senior data scientist role, with a combination of business / stakeholder consulting and, data analysis (technical coding, including using machine learning methods).Position Summary- Generate insights, build machine learning, deep learning and statistical predictive models and develop analytical approaches which form the foundation for driving patient engagement tactics aimed at improving medication adherence and patient experience.
- Deploy large scale machine learning and deep learning models in a production environment.
- Effectively collaborate cross functionally with Data Engineering, IT and other technical teams to onboard new data sources, create feature stores and optimize/ automate model development and deployment processes (Github, MLOps etc.)
- Perform data quality assessments, remediate or curate data as necessary, perform data modeling
- Write complex and efficient SQL code and leverage Exploratory Data Analysis techniques to develop insights from millions of adjudicated prescription claims and member level records across the PBM
- Communicate complex modeling outputs into clear business narratives for non-technical audiences & senior leadership to build credibility across levels and functions
- Prepare communication material such as presentations and reports, collaborate effectively with business, marketing, trade and other stakeholders across the organization.
- Mentor peers and lead intern projects.
Required Qualifications- 3+ years of hands-on experience in generating business insights, machine learning, and deep learning frameworks
- Proficiency in evaluating AI outputs for accuracy, mitigating bias, and directing large language models to deliver actionable business insights
- Strong experience with deployment of machine learning and deep learning models in production
- Strong proficiency with Python and SQL, data quality assessment, and data modeling
- Strong proficiency with Github and MLOps
Preferred Qualifications- Strong experience with cloud-based ML frameworks (either GCP, AWS, or Azure)
- Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and deploying machine learning pipelines
- Experience in healthcare and/ or pharma
Education- Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
- Master's degree or PhD preferred
Anticipated Weekly Hours40
Time TypeFull time
Pay RangeThe typical pay range for this role is:
$101,970.00 - $222,480.00
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.
Great benefits for great peopleWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 07/03/2026
