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Senior Data Scientist

Hinge Health

Hinge Health

Data Science
United States · San Francisco, CA, USA
USD 164,800-247,200 / year + Equity
Posted on Feb 25, 2026

Job Description

About the Role

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.

What You'll Accomplish

  • 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.

Hinge Health Hybrid Model

We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days/week.

Basic Qualifications

  • 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

Preferred Qualifications

  • 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

Compensation

This position will have an annual salary, plus equity and benefits. Please note the annual salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. The annual salary range for this position is $164,800-$247,200.

About Hinge Health

At Hinge Health, we’re using technology to scale and automate the delivery of healthcare – starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. With an AI-powered human-centered care model, Hinge Health leverages cutting-edge technology to improve outcomes, experiences and costs to help people move beyond their pain. The platform addresses a broad spectrum of MSK care – from acute injury, to chronic pain, to post-surgical rehabilitation – through personalized, evidence-based care.

As the preferred partner to 50+ health plans, PBMs and other ecosystem partners, Hinge Health is available to over 20 million people across more than 2,550 employers. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore. Learn more at http://www.hingehealth.com

What You'll Love About Us

  • 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.

Culture & Engagement

Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter.

By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy.


Workday ID

JR1949