Senior Data Scientist

Hinge Health • San Francisco, CA

298d • $152,000 - $228,000 • Remote

About The Position

We are looking for a Senior Data Scientist with 8-10 years of experience in product or growth data science to join our Partner Integrations & Eligibility (PIE) team within the Growth organization. This role will focus on data modeling, funnel optimization, experimentation, and analytics to drive strategic decisions around partner referrals, member eligibility, and engagement initiatives.

Requirements

• Bachelor's Degree (or equivalent) in Computer Science, Mathematics, Finance or a related technical field
• 8-10 years experience working with large datasets to solve business and technology problems
• Experience with DBT (Data Build Tool) and data pipeline optimization for scalable analytics
• Experience with A/B testing, causal inference, and predictive modeling

Nice To Haves

• Knowledge of machine learning techniques for predictive modeling and recommendation systems
• Prior experience in partner analytics, referral tracking, or marketplace data science
• Ground in healthcare, fintech, or member engagement analytics

Responsibilities

• Lead registration and login experiments, improving first-time login rates and overall enrollment conversion.
• Support implementation of a stable user ID system for better tracking of member engagement post-acceptance.
• Develop funnel optimization recommendations, improving key metrics such as registration, onboarding, and billable rates.
• Develop reporting frameworks for new partner integrations, including inbound referrals (e.g., Provider referrals) and outbound referrals.
• Analyze the impact of outbound referrals on member engagement and optimize referral pathways.
• Build and maintain partnerships data models to track referral efficiency, funnel performance, and revenue impact.
• Establish benchmarks for the accuracy of the eligibility service, minimizing false positives and false negatives to optimize auto-acceptance rates.
• Partner with engineering to improve user ID matching logic, connecting login experiments with accepted members.
• Analyze eligibility rejection reasons, support audit processes, and identify revenue opportunities.
• Support prioritization of eligibility service improvements to maximize onboarding efficiency.

Benefits

• Comprehensive medical, dental, and vision coverage
• Help with gender-affirming care
• Tools for family and fertility planning
• Travel reimbursements if healthcare isn't available where you live
• Traditional or Roth 401k retirement plan options with a 2% company match
• Modern life stipends for learning and development

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree