Hiring: Senior Growth Data Scientist - New Products Company: Hinge Health Location: San Francisco, CA Job Posted Time: 2026-09-16 11:43:38 Employment Type: Remote Target Skills & Keywords : A/B Testing, AWS, Airflow, Databricks, Machine Learning, Python, SQL, dbt About the job Experience: •3+ years of experience working with large datasets to solve business and technology problems and generate insights for decision-making.3+ years of experience using SQL and Python or R for data analysis and end-to-end analytical solutions. Required Skills: •New Product Growth Strategy and Measurement •Develop measurement frameworks and define success metrics for new products and programs where metrics are not yet established. •Conduct deep-dive and funnel analyses to understand member and customer behavior, explain root causes of performance changes, and identify high-value growth opportunities. •Partner cross-functionally with Growth Marketing and Product stakeholders to shape the strategy for how new products are positioned, marketed, launched, and scaled. •Design and execute A/B tests and other experiments with causal guardrails to measure incremental impact while detecting and preventing cannibalization of existing digital PT engagement. •Build statistical models and user segmentations to help teams identify the right audiences, improve conversion, and deliver more relevant and timely experiences. •Use existing channel attribution and cost-efficiency frameworks, and extend them where needed, to understand the business impact of investments in new products and growth pathways. •Data Foundations and Decision Support Qualifications: •Bachelor’s degree in Computer Science, Economics, Mathematics, Statistics, or a related technical field, or equivalent professional experience. •Knowledge of machine learning techniques for predictive modeling, segmentation, forecasting, and recommendation systems. •Prior experience in growth or product analytics for new product launches, partner analytics, referral tracking, or marketplace data science. •Knowledge of cloud infrastructure and tools such as AWS, Databricks, Airflow, and dbt. •Operational familiarity with experimentation and visualization platforms such as Statsig, Split, Optimizely, Mode, Tableau, or similar. •Background in healthcare, digital health, wellness, or member engagement analytics. •We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days per week, for the full 8 hours of a typical business day. The San Francisco office has a dog-friendly workplace program. Compensation: •$164,800 - $247,200 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!