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, and competencies.

The Opportunity

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.

What You'll Accomplish

• In your first 3 months: You will dive into our data foundations, mastering our modern stack (Databricks, dbt, Tuva Project). You will 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.

• In your first 6 months: You will ship high-impact predictive models. You will build propensity score matching models to establish causal impact and develop risk-prediction engines that identify high-risk members for targeted clinical interventions.

• In your first year: You will be the architect of our scalable ROI measurement engine. You will 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.

Who You Are

• A Causal Detective: You don't just report numbers; you uncover the "why." You have deep experience with causal inference and A/B testing, and you thrive on solving complex challenges like establishing causality in observational data.

• A Strategic Builder: You embody our "Hustle" value by finding creative ways to transform raw, messy healthcare data into clear ROI insights. You are comfortable navigating ambiguity and can architect automated solutions that scale.

• A Collaborative Communicator: You bridge the gap between technical complexity and business impact. You communicate effectively with health economists, engineers, and product leaders to align on shared goals and drive data-driven decision-making.

Basic Requirements

• Educational Background: Bachelor’s Degree (or equivalent) in Computer Science, Mathematics, Finance, or a related technical field.

• Experience: 5+ years of experience working with large datasets to solve business problems and generate decision-making insights.

• Technical Expertise: Strong proficiency in SQL and Python or R for data analysis.

• Methodological Depth: Proven experience with causal inference and A/B testing.

• Domain Knowledge: Prior experience in healthcare analytics or health economics with claims or clinical data.

Preferred Requirements

• Advanced Modeling: Knowledge of machine learning techniques for predictive modeling and recommendation systems.

• Modern Data Stack: Hands-on experience with data transformations in dbt and the Tuva Project (or similar open-source healthcare frameworks).

• AI Tooling: Hands-on experience with AI coding tools (e.g., Copilot, Cursor, Claude Code).

• Data Storytelling: Strong visualization skills and the ability to communicate complex data to non-technical stakeholders.

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.

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: 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.

Compensation Range: $164.8K - $247.2K