Senior Data Scientist - Claims Data

Hinge Health•San Francisco, CA

3d•Hybrid

About The Position

Join the team that is proving the value of the new healthcare system. Hinge Health is on a mission to create a patient-centered digital clinic that not only improves clinical outcomes but also drives significant financial savings. As a Senior Data Scientist in the ROI Identification & Measurement Pod, you will sit at the heart of our commercial value proposition. You won’t just analyze data—you will architect the automated engines and predictive models that prove our economic impact to the world’s largest employers and health plans. If you are passionate about using causal inference and massive datasets to drive company-wide strategy, this is your opportunity to build the "truth engine" of our business.

Requirements

Bachelor’s Degree (or equivalent) in Computer Science, Mathematics, Finance, or a related technical field.
5+ years of experience working with large datasets to solve business problems and generate decision-making insights.
Strong proficiency in SQL and Python or R for data analysis.
Proven experience with causal inference and A/B testing.
Prior experience in healthcare analytics or health economics with claims or clinical data.

Nice To Haves

Knowledge of machine learning techniques for predictive modeling and recommendation systems.
Hands-on experience with data transformations in dbt and the Tuva Project (or similar open-source healthcare frameworks).
Hands-on experience with AI coding tools (e.g., Copilot, Cursor, Claude Code).
Strong visualization skills and the ability to communicate complex data to non-technical stakeholders.

Responsibilities

Dive into our data foundations, mastering our modern stack (Databricks, dbt, Tuva Project).
Partner with health economists to audit our current claims analysis pipeline and begin designing robust dbt models to clean and normalize raw medical claims into a unified schema.
Ship high-impact predictive models.
Build propensity score matching models to establish causal impact and develop risk-prediction engines that identify high-risk members for targeted clinical interventions.
Be the architect of our scalable ROI measurement engine.
Translate complex analytical findings into clear, defensible insights that drive strategic decisions for Product, Marketing, and Customer Success, ultimately maximizing the economic value we deliver to our clients.