Data Scientist

• 3+ years using GCP services (BigQuery, Dataproc, Kubernetes, Vertex AI, GKE)
• 3+ years coding Python in a production cloud environment
• 2+ years deploying ML or agentic systems with CI/CD, on-prem and in the cloud
• 2+ years using orchestration frameworks such as LangGraph, LangChain, OpenAI Agents, or ADK
• Experience building agents with local and cloud LLMs including API integration, tool calls, workflows, and state management
• Experience orchestrating agent inputs and outputs, including pre-processing, post-processing, routing, guardrails, validation, and evaluation
• Experience with SQL (aggregation, window functions, filter, group data)
• Experience with Git for version control and collaboration
• Experience with GPU-mounted containers for development and inference workflows
• Experience hardening container images, including distroless patterns and CVE scanning
• Strong analytic and communication skills across technical and business audiences
• Bachelor's degree in data science, statistics, CS, engineering, or a related field (PhD STRONGLY PREFERRED)

Nice to Have Skills & Experience

• Experience deploying local LLMs with vLLM or SGLang
• Experience with CUDA, TensorRT, and TensorRT-LLM for GPU inference optimization
• Experience with LLMOps, including evaluation, tracing, monitoring, and prompt or version management
• Experience leading AI projects end to end and mentoring junior colleagues
• Advanced degree in data science, statistics, CS, engineering, or a related field

Job Description

• We are seeking a motivated Senior Data Scientist. You'll design and deploy MCP and agent-based solutions on GCP to improve our Medicare stars program. You'll build agents using local and cloud LLMs. You'll orchestrate agent inputs and outputs, including pre-processing, post-processing, validation, and tool use. You'll partner with engineers, domain experts, and stakeholders to define objectives and deliver production systems.