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

Work arrangement
Yes