Senior Data Scientist, Hinge Health

• The ideal candidate is a product-focused Data Scientist with strong analytical skills and experience in the healthcare or wellness industry. You’ll need to be proactive, curious, and able to take ownership of product metrics and data models to shape the next evolution of our multi-program experience
• 5+ years of experience in Data Science, Product Analytics, or related fields
• 5+ years of experience with Python and SQL
• Experience with building and automating reports and dashboards for non-technical stakeholders using tools like Mode, Tableau, or similar
• Experience with productionalizing data models/ETL

Desirable

• In this role, you’ll partner with cross-functional teams to drive product strategy through proactive analysis and experimentation.
• You’ll define and refine our data models, taxonomy, and metrics, helping inform product decisions and support the development of self-service tools for stakeholders across the organization. Your work will directly impact how we create tailored, efficient treatment plans for users across different health programs
• Drive proactive analysis and machine learning to inform key product decisions and the overall strategy for integrating and expanding multi-program experiences
• Design, execute, and analyze experiments to improve user outcomes and the overall product experience
• Own the development and optimization of taxonomies, metrics, and data models that enable product teams to create scalable, data-driven solutions for multi-program user experiences
• Build self-service tools and dashboards to empower stakeholders across the company to analyze and track performance metrics, user outcomes, and engagement across various treatment programs
• Construct and deploy predictive models to forecast user behavior, treatment outcomes, and engagement across multiple health programs, adjusting for different user segments and body parts
• Set and define clear, actionable product metrics to evaluate the success of the multi-program experience and continuously improve its impact on users
• Collaborate with product and engineering teams to define the roadmap for new data features, ensuring seamless integration of new treatment programs and body parts into the user experience
• Build anomaly detection systems to flag potential issues or underperformance in multi-program experiences, ensuring a high-quality user experience across all health programs
• Advocate for the product and data teams, ensuring that upstream data architecture and taxonomy practices support the long-term success of multi-program experiences