Data Scientist - GenAI
About The Position
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. We are seeking a highly skilled and collaborative Data Scientist to join our team and lead the development of series of customized GenAI solutions. This role will focus on building scalable, production-grade systems using Python and modern frameworks, with a strong emphasis on generative AI applications such as information retrieval, AI assisted websearch, Retrieval-Augmented Generation (RAG). The ideal candidate will thrive in a dynamic, agile environment and be comfortable working consultatively with stakeholders to clarify requirements and present results.
Requirements
- 1-3 years of coding experience (Preferably Python and vibe coding)
- 1-3 years of experience in backend systems (FastAPI experience is a plus)
- Proven track record of building and deploying GenAI solutions (e.g., RAG pipelines, agent-based systems)
- Hands-on experience with GenAI frameworks such as LangChain, LangGraph, or similar
- Experience working in cloud environments such as GCP, Azure, or AWS
- Strong team player with excellent collaboration skills in agile settings
- Ability to work consultatively with junior stakeholders, clarify needs, and communicate technical concepts effectively
Nice To Haves
- Familiarity with healthcare (Payor/ PBM) domains
- Experience with Formulary
- Experience integrating GenAI solutions into enterprise workflows
- Exposure to MLOps practices and tools (Jenkins, Docker, etc.)
Responsibilities
- Lead the development of customized GenAI solutions.
- Build scalable, production-grade systems using Python and modern frameworks.
- Focus on generative AI applications such as information retrieval, AI assisted websearch, Retrieval-Augmented Generation (RAG).
- Work consultatively with stakeholders to clarify requirements and present results.
Benefits
- medical
- dental
- vision coverage
- paid time off
- retirement savings options
- wellness programs
- other resources, based on eligibility
- CVS Health bonus, commission or short-term incentive program
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
