Sr Data Scientist

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:

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