# Senior Growth Data Scientist - New Products

**Company:** [Hinge Health](https://hotfix.jobs/companies/hinge-health)
**Location:** Unspecified
**Role:** Data Science
**Salary:** $165k – $247k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, R, A/B Testing, Causal Inference, Funnel Analysis, Statistical Modeling, Predictive Modeling, AWS, Databricks, Airflow, dbt, Tableau, Experimentation
**Posted:** 2026-08-24

> Leads growth measurement, experimentation, funnel optimization, and data foundations for emerging healthcare products. The role partners with marketing, product, engineering, and design teams and requires strong SQL and Python or R experience, experimental methods, and data modeling expertise.

## Job Description

## Responsibilities

### New Product Growth Strategy and Measurement
- Develop measurement frameworks and define success metrics for new products and programs.
- Conduct deep-dive and funnel analyses to understand member and customer behavior, identify root causes, and uncover growth opportunities.
- Collaborate with Growth Marketing and Product stakeholders on positioning, marketing, launches, and scaling.

### Experimentation and Optimization
- Design and execute A/B tests and other experiments with causal guardrails.
- Build statistical models and user segmentations to identify audiences, improve conversion, and deliver relevant experiences.
- Apply attribution and cost-efficiency frameworks to evaluate investment impact and detect cannibalization.

### Data Foundations and Decision Support
- Develop robust data models and experiment-ready datasets.
- Build and maintain dashboards and self-service analytics tools.
- Partner with Engineering on event instrumentation, consistent schemas, timestamps, and validation.
- Apply predictive modeling, segmentation, and other advanced analytical methods to understand behavior, demand, and intervention opportunities.

## Requirements

- Bachelor’s degree in Computer Science, Economics, Mathematics, Statistics, or a related technical field, or equivalent professional experience.
- 3+ years of experience working with large datasets to solve business and technology problems and generate decision-making insights.
- 3+ years of experience using SQL and Python or R for data analysis and end-to-end analytical solutions.
- Experience with A/B testing, causal inference, funnel analysis, and experimental frameworks.
- Experience defining metrics, building data models, and establishing measurement frameworks in ambiguous or greenfield environments.

## Nice-to-Haves

- Machine learning techniques for predictive modeling, segmentation, forecasting, and recommendation systems.
- Growth or product analytics for new product launches, partner analytics, referral tracking, or marketplace data science.
- Event taxonomies and data architecture for new product surfaces.
- Cloud infrastructure and tools such as AWS, Databricks, Airflow, and dbt.
- Experimentation and visualization platforms such as Statsig, Split, Optimizely, Mode, or Tableau.
- Healthcare, digital health, wellness, or member engagement analytics experience.
- AI-assisted coding tools for rapid prototyping, analysis, and production development.

## Compensation and Benefits

- Salary range: $164,800–$247,200.
- Medical, dental, and vision coverage.
- Gender-affirming care, family and fertility planning support, and healthcare travel reimbursements.
- Traditional or Roth 401(k) options with a 2% company match.
- Learning and development stipends.
- Employee stock purchase plan (ESPP).

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