Staff Data Scientist at Hinge Health

About the Role Hinge Health is expanding from digital PT into full musculoskeletal care through HingeSelect, which enables members to self-select into in-person visits, specialist referrals, and other care pathways. As we scale this offering, we need a Staff Product Data Scientist to build the measurement and experimentation foundation that turns product investment into measurable growth. This is a 0-to-1 role. You will be the first dedicated data scientist on HingeSelect's discovery and visits experience, partnering directly with Product and Engineering to diagnose low conversion, establish causal guardrails against cannibalization of existing programs, and ensure strong instrumentation so every product bet has a clear feedback loop to business impact. You will also model how provider capacity and member demand interact to optimize supply-demand dynamics across the care network. The ideal candidate is deeply technical, fluent in AI-assisted development, and comfortable defining end-to-end data architecture from scratch. You should be able to write production-quality code using AI tools, design experiments that hold up to causal scrutiny, and translate ambiguous business questions into rigorous analytical frameworks. Without this role, analytics remain superficial, key strategic risks go unmeasured, and engineering teams ship without a clear path from feature to outcome. Our stack: Python, SQL, dbt, Mode, Databricks, Airflow, Statsig, AWS What You'll Accomplish - Build the measurement and experimentation foundation for HingeSelect end-to-end — from instrumentation design through causal analysis and metric reporting. - Diagnose conversion bottlenecks across the HingeSelect funnel (discovery, selection, scheduling, visit completion) and partner with Product to prioritize highest-leverage interventions. - Design and execute experiments with causal guardrails to measure HingeSelect's incremental impact while detecting and preventing cannibalization of existing digital PT engagement. - Model supply-demand dynamics — how provider capacity, geographic coverage, and member demand interact — to inform network strategy and capacity planning. - Define the data architecture for HingeSelect from scratch: event taxonomy, data models, and metric definitions that enable reliable downstream analysis and AI agent consumption. - Build and maintain dashboards and self-service tools that give Product, Engineering, and leadership real-time visibility into funnel performance and experiment results. - Advocate for upstream instrumentation best practices, working with Engineering to ensure events are captured server-side with consistent schemas and timestamps. - Apply machine learning and predictive modeling to forecast member behavior, segment demand, and identify high-value intervention points across the care selection journey. - Write production-quality code using AI tools (Claude, Cursor, Copilot) to accelerate development of data models, analyses, and pipelines. Basic Qualifications - Bachelor's or Master's degree in a relevant field (Data Science, Computer Science, Economics, Statistics, Engineering, etc.). - 7+ years of experience in Data Science, Product Analytics, or related fields. - 7+ years of experience with Python and SQL, with the ability to build end-to-end analytical solutions. - Experience designing and analyzing A/B tests and causal inference methods (e.g., difference-in-differences, instrumental variables, synthetic control). - Experience defining metrics, building data models, and establishing measurement frameworks in ambiguous, greenfield environments. - Experience with productionalizing data models and ETL pipelines. - Experience with AI-assisted coding tools and ability to leverage them for rapid prototyping and production development. Preferred Qualifications - 2+ years of experience with machine learning and predictive modeling, particularly in funnel optimization or marketplace/supply-demand contexts. - Prior experience in healthcare, digital health, or marketplace environments with multi-sided supply-demand dynamics. - Experience defining event taxonomies and data architecture for new product surfaces. - Knowledge of cloud infrastructure and tools such as AWS, Databricks, and Airflow. - Familiarity with experimentation platforms (Statsig, Split, Optimizely, or similar). 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 [Upgrade to PRO to see link] 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. [Upgrade to PRO to see link] Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com [Upgrade to PRO to see link]" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to [Upgrade to PRO to see contact] [Upgrade to PRO to see link]