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Staff Data Scientist
Hinge Health. Build the measurement and experimentation foundation for HingeSelect end-to-end — from instrumentation design through causal analysis and metric reporting.
Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLdata modelingA/B testingcausal inferenceETL pipelinesmachine learningpredictive modelinginstrumentation designmetric reporting
Soft Skills
collaborationproblem-solvinganalytical thinkingcommunicationprioritizationadvocacyleadershipstrategic thinkingcreativityadaptability
Certifications
Bachelor's degreeMaster's degree