Data Scientist

Data Scientist – Rate Benchmarking Location: Remote (US) About The Company Our client is one of the largest healthcare organizations in the U.S., serving millions of members across pharmacy, insurance, and care delivery. Its Network Analytics team uses data science to shape how the company builds and contracts its provider networks. Job Summary We're hiring two mid-level Data Scientists for a new rate benchmarking simulator, a tool that compares the client's contracted provider rates against market benchmarks. You'll build the models that show where the organization pays above or below market and the scenario logic that lets contracting teams test negotiation outcomes.

Key Responsibilities

Build rate benchmarking and comparison models in SQL and Python Measure above- and below-market rate positions by provider, market and service line Design and code the scenario/simulation logic behind the tool Profile and validate benchmark and contract rate data sources Partner with the Data Engineer on data needs and pipeline design in GCP/BigQuery Present findings and methods to contracting and analytics stakeholders Document code, queries and models for knowledge transfer Requirements 3–7 years of hands-on data science or advanced analytics experience Strong SQL and Python (pandas, NumPy, scikit-learn or similar) Experience with large datasets in a cloud warehouse, preferably BigQuery Solid statistical foundation: regression, comparative analysis, normalization Able to explain technical results clearly to business partners

Preferred Qualifications

Healthcare claims, provider reimbursement or contract pricing data experience Familiarity with price transparency/benchmark data (e.g., Medicare fee schedules, Transparency in Coverage files) Scenario modeling or simulation experience Graduate degree in a quantitative field

Benefits

Fully remote High-visibility analytics initiative at one of the largest healthcare organizations in the U.S. Build a new product from the ground up