Sr Data Scientist

CVS Health•San Antonio, TX

2d•$92,700 - $203,940

About The Position

CVS Health is seeking a Senior Data Scientist to join its Medicare Member Experience data science team. The role focuses on designing and deploying agent-based solutions, including Model Context Protocol (MCP) servers, on Google Cloud Platform (GCP) to improve the Medicare Stars program. The solutions will extract information from unstructured data using local and cloud-hosted large language models (LLMs). The position partners with engineers, domain experts, and stakeholders to deliver production systems. It is a full-time role with 40 anticipated weekly hours. The stated pay range is $92,700 to $203,940, with eligibility for a CVS Health bonus, commission, or short-term incentive program. Benefits include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Requirements

At least 3 years of coding Python in a production cloud environment.
At least 3 years of 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 analytical and communication skills across technical and business audiences.
Bachelor's degree in data science, statistics, computer science, engineering, or a related field.

Nice To Haves

At least 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, computer science, engineering, or a related field.

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.