Senior Data Scientist

Hinge-Health • San Francisco, CA

5h • Hybrid

About The Position

Hinge Health is on a mission to create a new healthcare system built around the user. To achieve this, we must demonstrate that our digital clinic not only improves clinical outcomes but also drives significant financial savings for our clients—primarily large employers and health plans.
As a Senior Data Scientist in the ROI Identification & Measurement Pod, you will join a high-impact, cross-functional team of Product, Data Science, Health Economics, and Engineering. Your work sits at the heart of our commercial value proposition: using massive healthcare claims datasets to prove and predict the economic impact of our programs.
In this role, you will solve complex technical challenges such as building propensity score matching models to establish causal impact and developing predictive models that identify high-risk members for targeted clinical interventions. You will be a key architect of our automated claims analysis engine, leveraging a modern stack (Databricks, dbt, and the open-source Tuva Project) to transform raw, messy healthcare data into clear, defensible ROI insights that drive company-wide strategy.

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 and technology problems and generate insights to help with decision making
• Experience with causal inference and A/B testing
• Working knowledge of SQL, visualization tools & data modeling experience
• Experience with Python or R for data analysis
• Prior experience in healthcare analytics or health economics with claims or other clinical data

Nice To Haves

• Knowledge of machine learning techniques for predictive modeling and recommendation systems.
• Experience with data transformations in dbt
• Hands-on experience with AI tooling (i.e. Copilot, Cursor, Claude Code)
• Hands-on experience with the Tuva Project and its open source codebase
• Strong communication and stakeholder management skills

Responsibilities

• Scale our Automated Claims Analysis Engine: Partner with health economists to implement rigorous ROI measurement methodologies into our automated pipeline.
• Develop Predictive ROI Models: Develop machine learning models that forecast client-level ROI and identify the leading indicators of healthcare cost savings.
• Power Targeted Enrollment: Build and refine risk-prediction engines to identify eligible members at high risk for expensive musculoskeletal (MSK) events, enabling personalized marketing and product interventions.
• Modernize Data Foundations: Design and maintain robust dbt models to clean and normalize raw medical claims and clinical data into a unified schema, utilizing the Tuva Project framework.
• Enable Data-Driven Decisions: Create and manage high-visibility dashboards for internal and external stakeholders, monitoring ROI performance and clinical value across our entire book of business.
• Drive Strategic Recommendations: Translate complex analytical findings into actionable insights for Product, Marketing, and Customer Success teams to optimize program impact and member engagement.

Benefits

• Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.
• Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
• Modern life stipends: Manage your own learning and development
• Grow with us through discounted company stock through our ESPP with easy payroll deductions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level