
1001 - 5000 employees
Founded 2014
🧘 Wellness
🤝 B2B
☁️ SaaS
💰 $400M Series E - Hinge Health on 2021-10
Wellness • B2B • SaaS
Hinge Health is a digital health company that provides virtual musculoskeletal (MSK) care, including guided physical therapy, pelvic floor therapy, and a dedicated care team (physical therapists, health coaches, orthopedic specialists) supported by AI-driven tools and 3D motion tracking. It offers an app-based care experience and an FDA-cleared wearable (Enso) for drug-free pain relief, serving both individual patients and enterprise clients such as employers and health plans with value-based contracting and ROI-focused programs.
🕒 April 21
🏢🏡 San Francisco – Hybrid
💵 $164.8k - $247.2k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 2014
🧘 Wellness
🤝 B2B
☁️ SaaS
💰 $400M Series E - Hinge Health on 2021-10
Wellness • B2B • SaaS
Hinge Health is a digital health company that provides virtual musculoskeletal (MSK) care, including guided physical therapy, pelvic floor therapy, and a dedicated care team (physical therapists, health coaches, orthopedic specialists) supported by AI-driven tools and 3D motion tracking. It offers an app-based care experience and an FDA-cleared wearable (Enso) for drug-free pain relief, serving both individual patients and enterprise clients such as employers and health plans with value-based contracting and ROI-focused programs.
• Lead the data strategy for the computer vision platform. • Design, execute, and analyze experiments for product improvements. • Own and refine data models powering computer vision experience. • Define and monitor key metrics related to exercise form and user engagement. • Build and maintain data tools, dashboards, and reporting systems. • Apply machine learning and predictive modeling for user behavior analysis. • Conduct deep-dive analyses on the impact of computer vision features. • Define data taxonomy and architecture, ensuring quality across teams. • Partner with product managers to define the roadmap for new data features.
• 5+ years of experience in Data Science, Product Analytics, or related fields. • 5+ years of experience with Python and SQL. • Experience designing and analyzing A/B tests. • Ability to translate complex data into actionable insights. • Experience building dashboards and reports using tools like Mode, Tableau, or similar. • Experience with productionalizing data models and ETL pipelines. • 1+ years of experience with machine learning and predictive modeling (preferred). • Bachelor's or Master's degree in a relevant field.
• Health insurance • 401(k) retirement plan with 2% company match • Gender-affirming care • Family and fertility planning tools • Travel reimbursements for healthcare • Discounts on company stock through ESPP
Apply Now🕒 April 16
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