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Senior Data Scientist - GenAI

CVS Health · New York, NY · Posted 15 days ago

$111k–$222kic
5+ yrs expPythonGenerative AILarge Language ModelsRetrieval-Augmented GenerationMachine LearningInformation RetrievalAgentic AIAWS

Lead the evolution of CVS Health's enterprise knowledge and agentic AI platform, owning retrieval, evaluation, and production agents used across the company.

POSITION SUMMARY CVS Health is seeking a Senior Data Scientist - GenAI to join the Lumina team, the organization behind CVS Health's enterprise knowledge and agentic AI platform. The Senior Data Scientist - GenAI will play a critical role in advancing the intelligence, scalability, reliability, and business impact of AI-powered experiences used across the enterprise. This position combines deep expertise in applied data science, machine learning, information retrieval, and Generative AI with strong software engineering capabilities to deliver production-grade solutions at scale. The Senior Data Scientist - GenAI will lead initiatives that improve how enterprise knowledge is discovered, interpreted, and utilized through advanced AI techniques, intelligent retrieval systems, and autonomous workflows. The Senior Data Scientist - GenAI will leverage experimentation, statistical methods, machine learning, and large language models to drive measurable improvements in relevance, accuracy, user satisfaction, and operational efficiency.

As a Senior Data Scientist - GenAI, you will contribute across the full lifecycle of AI product development, from research and prototyping through deployment, monitoring, optimization, and continuous innovation. The Senior Data Scientist - GenAI will collaborate closely with software engineers, platform engineers, architects, product managers, and business leaders to deliver enterprise-scale AI capabilities that solve complex business challenges and accelerate decision-making throughout CVS Health.

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There are 37,231 open roles at CVS Health right now. This role is one of 26 Data Scientist openings in New York, NY and centers on Python, Machine Learning, Generative AI, and Large Language Models.

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