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CVS Health Logo

Senior Data Scientist – Agentic AI & Decision Intelligence

CVS Health

$101,970 - $222,480
Dec 3, 2025
Woonsocket, RI, US
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CVS Health is looking to transform how its business interacts with data by building and scaling agentic AI frameworks, conversational analytics, and decision intelligence systems.

Requirements

  • 3+ years of experience in advanced analytics, decision science, applied AI/ML
  • Strong programming skills in Python and SQL, with experience deploying AI systems in cloud environments (GCP, AWS, or Azure).
  • Deep expertise in at least one area of advanced modeling: predictive analytics, reinforcement learning, NLP, or causal inference.
  • Proven ability to translate complex AI concepts into business impact, including stakeholder alignment and business value sizing.
  • Experience leading end-to-end AI-driven solution delivery: from data foundation to model orchestration to front-end adoption.
  • Hands-on experience with LLMs, generative AI, or conversational AI frameworks (e.g., LangChain, RAG).
  • Experience implementing agentic AI systems for conversational analytics, autonomous reporting, or decision support.

Responsibilities

  • building and scaling agentic AI frameworks, conversational analytics, and decision intelligence systems
  • design and execute a customer-centric analytics strategy powered by AI agents, LLMs, and generative AI
  • contribute to the vision, strategy, and own the execution of AI-driven decision systems
  • deploying AI systems in cloud environments (GCP, AWS, or Azure)
  • translate complex AI concepts into business impact
  • leading end-to-end AI-driven solution delivery: from data foundation to model orchestration to front-end adoption
  • Hands-on experience with LLMs, generative AI, or conversational AI frameworks (e.g., LangChain, RAG)

Other

  • Strong communication, storytelling, and customer engagement skills, with a passion for building solutions that are intuitive and impactful.
  • 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
  • 40 hours per week
  • Full time