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.

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.

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.

Staff Data Scientist

Key skills