Sr. Data Scientist - PBM Analytics9025 CVS Shared Services Resources LLC • New York, New York, United States
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Sr. Data Scientist - PBM Analytics
9025 CVS Shared Services Resources LLC
- New York, New York, United States
- New York, New York, United States
About
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 (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. Pay Range
The 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. Benefits
Medical, dental, and vision coverage. Paid time off. Retirement savings options. Wellness programs. Other resources (based on eligibility). Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We anticipate the application window for this opening will close on: 07/03/2026.
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Languages
- English
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