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Data Science Manager

Leads data science team and strategy for Treatment Experience (Computer Vision, Enso wearable, RAIN platform) and Hinge Select hybrid care. Drives experimentation, data quality, infrastructure; requires 8+ years DS experience, SQL/Python proficiency, 2+ years management.

220k – 330kSan Francisco, CAData AnalyticsHybrid8+ YOE

About the role

Responsibilities

  • Serve as the primary data partner for Treatment Experience and Hinge Select leadership teams, proactively identifying opportunities (e.g., increase CV adoption, optimize Enso utilization, improve Hinge Select funnel conversion).
  • Manage, mentor, and grow a team of 4 Data Scientists, handling performance management, career growth, and project prioritization.
  • Drive Product Data Quality initiative: define metric frameworks, enforce instrumentation/taxonomy standards (Mixpanel), deliver trusted dbt data models in Databricks.
  • Uplevel experimentation using Statsig: design complex experiments (e.g., CV assessments, Enso onboarding) and interpret results.
  • Establish foundational data architecture for Hinge Select: solve data ingestion challenges (Postgres, 3rd-party claims, EHR data).
  • Bridge technical data work and business outcomes, ensuring actionable insights aligned with OKRs.

Requirements

Basic Qualifications:

  • Bachelor's degree in Computer Science or related field, or equivalent experience.
  • 8+ years in Data Science, Product Analytics, or related field.
  • 2+ years people management (or Tech Lead with mentorship).
  • Strong proficiency in SQL and Python.
  • Deep understanding of experimentation (A/B testing, causal inference) and statistical methods.
  • Experience with modern data stacks: dbt, Databricks (or Snowflake/BigQuery), Airflow, BI tools (Mode, Tableau, Looker).
  • Ability to translate technical concepts to non-technical executives.

Preferred Qualifications:

  • Experience in Digital Health, MedTech, or Wearables (FDA-regulated devices, sensor data).
  • Experience with Computer Vision or ML-driven features.
  • Experience in Marketplace or Hybrid Care models.
  • Familiarity with Statsig.

Compensation & Benefits

  • Comprehensive medical, dental, vision coverage.
  • Gender-affirming care, family/fertility planning tools, travel reimbursements.
  • 401k with 2% company match.
  • Modern life stipends for learning/development.
  • ESPP with payroll deductions.

Skills

SQLPythondbtDatabricksAirflowMixpanelStatsigModeTableauLookerComputer VisionA/B TestingCausal Inference

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