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Senior Data Scientist

https://www.cvshealth.com/ Logo

CVS Health

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Location:
United States, New York

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

111240.00 - 222480.00 USD / Year

Job Description:

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 Retrieval-Augmented Generation (RAG) and intelligent agents. The ideal candidate will thrive in a dynamic, agile environment and be comfortable working consultatively with stakeholders to clarify requirements and present results.

Job Responsibility:

  • Lead the development of series of customized GenAI solutions
  • Build scalable, production-grade systems using Python and modern frameworks
  • Focus on generative AI applications such as Retrieval-Augmented Generation (RAG) and intelligent agents
  • Work consultatively with stakeholders to clarify requirements and present results

Requirements:

  • 3+ year of coding experience (Preferably Python)
  • 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 have:

  • Familiarity with healthcare (PBM / insurance) domains
  • Familiarity with B2B sales process
  • Experience integrating GenAI solutions into enterprise workflows
  • Exposure to MLOps practices and tools (Jenkins, Docker, etc.)
What we offer:
  • Affordable medical plan options
  • 401(k) plan including matching company contributions
  • Employee stock purchase plan
  • No-cost wellness screenings
  • Tobacco cessation and weight management programs
  • Confidential counseling
  • Financial coaching
  • Paid time off
  • Flexible work schedules
  • Family leave
  • Dependent care resources
  • Colleague assistance programs
  • Tuition assistance
  • Retiree medical access

Additional Information:

Job Posted:
October 05, 2025

Expiration:
October 26, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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