Senior Growth Data Scientist - New Products
Hinge Health · San Francisco-HQ · US
Posted 60+ days ago
Health Tech
Hybrid
Not yet analysed
Demand80
Career growth85
Healthcare fit35
Remote potential80
5-year outlook
Competitive for senior data science roles in health tech, with strong growth potential as digital health expands. Exact figures depend on location and company stage.
Clinical license
Not required
Applicant reach
broad
Seniority
senior
Employment type
full-time
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Only consider if you have substantial data science experience (SQL, Python, experimentation). Clinicians without these skills will not be competitive, but those with a data science background can leverage healthcare domain knowledge as a differentiator.
Who should apply
Clinicians with a data science degree or equivalent experience, healthcare graduates with strong quantitative skills, or data scientists with healthcare domain interest.
CV angle
Highlight clinical domain expertise as an asset for understanding member behavior and product context, but lead with data science skills: SQL, Python, A/B testing, causal inference, and experience building measurement frameworks.
Skills to highlight
- SQL
- Python
- A/B testing
- causal inference
- funnel analysis
- predictive modeling
- segmentation
- data modeling
Role summary
Senior Growth Data Scientist at Hinge Health, focused on building data science capabilities for new products (e.g., HingeSelect, migraines, GI) including measurement frameworks, experimentation, and funnel optimization to drive member acquisition and engagement.
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