About the RoleWe are seeking a Manager, Data Science to lead the data strategy for two critical areas of our business: Treatment Experience and Hinge Select.
In this role, you will own the data roadmap for our most innovative clinical technologies-including Computer Vision (Motion Insights), the Enso wearable device, and our Rewards & Insights (RAIN) engagement platform. Additionally, you will lead the analytics strategy for Hinge Select, our fast-growing hybrid care offering that connects members with virtual specialists and in-person providers.
What You'll Accomplish- Strategic Thought Partnership: Serve as the primary data partner for the Treatment Experience and Hinge Select leadership teams. You will move beyond "service-desk" analytics to proactively identify opportunities (e.g., how to increase CV adoption, optimize Enso utilization, or improve Hinge Select funnel conversion).
- Team Leadership & Development: Manage, mentor, and grow a team of Data Scientists (currently 4 direct reports). Foster a culture of technical excellence, autonomy, and "radical candor." You will be responsible for their performance management, career growth, and project prioritization.
- Product Data Quality & Infrastructure: Drive the "Product Data Quality" initiative for your domains. You will oversee the definition of metric frameworks, enforce rigorous instrumentation/taxonomy standards (Mixpanel), and ensure the delivery of trusted, documented dbt data models in Databricks.
- Experimentation Excellence: Uplevel the rigor and velocity of experimentation within your pods using Statsig. You will guide your team in designing complex experiments (e.g., triggering logic for CV assessments, Enso onboarding flows) and interpreting results to prevent "shipping to learn" without clear hypotheses.
- 0-to-1 Product Analytics (Hinge Select): Establish the foundational data architecture for Hinge Select. You will work with Engineering to solve complex data ingestion challenges (bridging internal Postgres, 3rd-party claims, and EHR data) to build the first comprehensive view of our hybrid care supply and demand.
- Cross-Functional Collaboration: Bridge the gap between technical data work and business outcomes. You will ensure your team's work-whether it's a predictive model for M2M referrals or a dashboard for weekly streak adoption-is actionable, accessible, and aligned with company OKRs.
Who You Are- A Player-Coach: You thrive in both leading a team and staying close to the technical work, balancing 0-to-1 product launches with the optimization of established technologies.
- A "Learn-it-all": You constantly test new ideas and are willing to learn and get better, fostering a culture of technical excellence and experimentation.
- A Trust Builder: You communicate complex technical concepts effectively to non-technical executives and partner closely with Product, Engineering, and Design leadership.
- Action-Oriented: You bridge the gap between technical data work and business outcomes, ensuring insights are actionable and aligned with company goals.
Basic Qualifications- Bachelor's degree in Computer Science or related field, or equivalent professional experience.
- A minimum of 2-4+ years of experience in Data Science, Product Analytics, or a related technical field.
- A minimum of 2+ years of people management experience (or 2+ years as a formal Tech Lead with mentorship responsibilities), with a track record of successfully hiring and developing talent.
- Strong proficiency in SQL and Python for data manipulation and analysis.
- Deep understanding of experimentation (A/B testing, causal inference) and statistical methods.
- Experience with modern data stacks: dbt, Databricks (or Snowflake/BigQuery), Airflow, and BI tools like Mode, Tableau, or Looker.
- Ability to translate complex technical concepts into clear recommendations for non-technical executives.
Preferred Qualifications- 4+ years of experience in Data Science, Product Analytics, or a related technical field.
- 2+ years of people management experience (or 2+ years as a formal Tech Lead with mentorship responsibilities), with a track record of successfully hiring and developing talent.
- Experience in Digital Health, MedTech, or Wearables (familiarity with FDA-regulated devices or sensor data is a plus).
- Experience working with Computer Vision or ML-driven product features.
- Experience in Marketplace or Hybrid Care models (matching supply/demand, provider networks).
- Familiarity with Statsig for feature gating and experimentation.
Hinge Health Hybrid ModelWe 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.
