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.
Position Summary:
We seek a Senior Data Scientist to join our Medicare Member Experience data science team. You will design and deploy agent-based solutions, including Model Context Protocol (MCP) servers, on Google Cloud Platform (GCP) to improve our Medicare Stars program. These agents will extract information from unstructured data using a mix of local and cloud-hosted large language models (LLMs).
Key responsibilities:
- Design, build, and deploy MCP and agent-based solutions on GCP
- Develop NLP-driven information extraction pipelines
- Build reliable agent pipelines, from input handling to validated outputs
- Evaluate and monitor agent performance in production
- Partner with engineers, domain experts, and stakeholders to deliver production systems
Required Qualifications:
- 3+ years coding Python in a production cloud environment
- 3+ years developing and testing NLP models using PyTorch and Transformers
- Experience deploying LLM-based systems to production with CI/CD
- Experience with agent evaluation and guardrails
- Experience with GPU-mounted containers for development and inference
- Proficiency in SQL and Git
- Strong analytic and communication skills across technical and business audiences
Preferred Qualifications:
- 3+ years using GCP services such as BigQuery, Kubernetes, Vertex AI, and GKE
- Experience building MCP servers
- Experience with agent frameworks such as LangGraph, LangChain, OpenAI Agents SDK, or ADK
- Experience with LLMOps and MLOps, including monitoring, versioning, and data and model provenance
- Experience deploying local LLMs with vLLM or SGLang
- Experience with CUDA, TensorRT, and TensorRT-LLM for GPU inference optimization
- Experience fine-tuning encoder, decoder, and encoder-decoder models
- Experience hardening container images, including distroless patterns and CVE scanning
- Experience leading AI projects end to end and mentoring junior colleagues
- Advanced degree in data science, statistics, CS, engineering, or a related field
Education:
- Bachelor's degree in data science, statistics, CS, engineering, or a related field
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$92,700.00 - $203,940.00This 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.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 3+ years coding Python in a production cloud environment
- 3+ years developing and testing NLP models using PyTorch and Transformers
- Experience deploying LLM-based systems to production with CI/CD
- Experience with agent evaluation and guardrails
- Experience with GPU-mounted containers for development and inference
- Proficiency in SQL and Git
- Strong analytic and communication skills across technical and business audiences
- Bachelor's degree in data science, statistics, computer science, engineering, or a related field
- 3+ years using GCP services such as BigQuery, Kubernetes, Vertex AI, and GKE
- Experience building Model Context Protocol servers
- Experience with agent frameworks such as LangGraph, LangChain, OpenAI Agents SDK, or ADK
- Experience with LLMOps and MLOps, including monitoring, versioning, and data and model provenance
- Experience deploying local LLMs with vLLM or SGLang
- Experience with CUDA, TensorRT, and TensorRT-LLM for GPU inference optimization
- Experience fine-tuning encoder, decoder, and encoder-decoder models
- Experience hardening container images, including distroless patterns and CVE scanning
- Experience leading AI projects end to end and mentoring junior colleagues
- Advanced degree in data science, statistics, computer science, engineering, or a related field
CVS Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CVS Health and has not been reviewed or approved by CVS Health.
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Healthcare Strength — Health coverage is described as broad and robust, spanning medical, dental, vision, prescription, life, and disability insurance. Access to no-cost preventive care through MinuteClinic and virtual medical services further enhances the package.
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Wellbeing & Lifestyle Benefits — Wellness and education resources stand out, including tuition assistance, confidential counseling with generous session limits, virtual mental-health care, fitness programs, financial coaching, and employee discounts. Backup-care support and other lifestyle discounts add everyday value.
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Parental & Family Support — Family-oriented programs such as paid parental leave, adoption and surrogacy assistance, doula support, caregiving resources, and backup care are highlighted. These offerings indicate meaningful support for different life stages.
CVS Health Insights
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
