# Senior Data Scientist

**Company:** [Hinge Health](https://hotfix.jobs/companies/hinge-health)
**Location:** San Francisco, CA
**Role:** Data Science
**Salary:** $165k – $247k/yr
**Experience:** 5+ years
**Skills:** Python, SQL, dbt, Mode, Databricks, Airflow, Statsig, AWS, Machine Learning, A/B Testing, ETL, Tableau
**Posted:** 2026-04-20

> Owns analytics, experimentation, and measurement for HingeSelect's Visits and Discovery experience. Partners with Product/Engineering to diagnose bottlenecks, design experiments, model supply-demand dynamics, and build data architecture using Python/SQL/ML. Requires 5+ years in data science/product analytics.

## Job Description

## What You'll Accomplish
- Build the measurement and experimentation foundation for HingeSelect's Visits and Discovery experience — 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.

## Basic Qualifications
- 5+ years of experience in Data Science, Product Analytics, or related fields.
- 5+ years of experience with **Python** and **SQL**, with the ability to transform complex data into actionable insights.
- Experience designing and analyzing A/B tests and other experimental frameworks.
- Proven ability to translate complex data into clear, actionable insights and communicate findings effectively to both technical and non-technical stakeholders.
- Experience building dashboards and reports for monitoring product or operational metrics using tools like **Mode**, **Tableau**, or similar.
- Experience with productionalizing data models and ETL pipelines.

## Preferred Qualifications
- 1+ years of experience with machine learning and predictive modeling.
- Bachelor's or Master's degree in a relevant field (Data Science, Computer Science, Engineering, Statistics, etc.).
- Prior experience in healthcare, wellness, or digital health environments, particularly in fitness technologies or real-time feedback systems.
- Knowledge of cloud infrastructure and tools such as **AWS**, **Databricks**, and **Airflow**.

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