Sr Data Scientist
Core
Using advanced mathematical and statistical methods to solve business problems related to health status, outcomes, and healthcare provider characteristics.
Role type
Senior IC data scientist (healthcare analytics & GenAI)
Builds
Statistical analysis, experimental data validation, and GenAI/agentic AI solutions for healthcare members and providers.
Domain
Healthcare + Data Science / Machine Learning
Deliverable
production ML models
Required skills
statistical modeling, machine learning, data analysis, relational query languages, data visualization, high-level programming languages, distributed computing, healthcare domain knowledge
Preferred skills
GenAI evaluation, LLM observability, agentic AI deployment, agent architectures, enterprise AI platforms, prompt engineering, RAG, embeddings, orchestration frameworks
Technologies
Python, LangChain, LangGraph, Microsoft Foundry, Databricks, OpenTelemetry, MLflow Tracing, Arize
Responsibilities
Collect, integrate, and analyze data from health status and outcomes sources; perform statistical analysis on experimental or business data to validate trends; design, build, or evaluate solutions using LLMs and agentic workflows; explain and evaluate trade-offs among accuracy, reliability, latency, cost, and security for stakeholders.
Seniority
Senior, hands-on IC