# Data Science Manager

**Company:** [Hinge Health](https://hotfix.jobs/companies/hinge-health)
**Location:** San Francisco, CA
**Role:** Data Analytics
**Salary:** $220k – $330k/yr
**Experience:** 8+ years
**Skills:** SQL, Python, dbt, Databricks, Airflow, Mixpanel, Statsig, Mode, Tableau, Looker, Computer Vision, A/B Testing, Causal Inference
**Posted:** 2026-03-03

> 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.

## Job Description

## 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.

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