Hinge Health
Senior Growth Data Scientist - New Products
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco-HQ
Employer listed it 4 weeks ago · Added yesterday
Been open since 4 weeks ago, still being checked, but it has been live a while.
Salary
$164,800–$247,200
Location
Hybrid · San Francisco-HQ
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco-HQ, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco-HQ, Hybrid"
- Listing mentions "Hybrid" and 3 days per week in the office
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About the Role
We are seeking a Senior Data Scientist to join our Growth Data Science team and support the New Products Pod. This role will focus on building data science capabilities for a portfolio of emerging products and programs, including HingeSelect, migraines, GI, arthritis, and other new offerings, helping the team define how to position, launch, measure, and scale them. You will lead efforts in data modeling, funnel optimization, experimentation, and analytics to inform product and marketing strategy, improve member acquisition and engagement, and accelerate growth.
You will work closely with Growth Marketing, Product, Engineering, Design, and Data Science partners to answer foundational questions where the strategy and success metrics are still taking shape. This is a zero-to-one opportunity to establish measurement frameworks, build experiment-ready data foundations, and translate analytical findings into clear recommendations for high-impact decisions.
What You’ll Accomplish
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.
Collaborate with Growth Marketing and Product stakeholders to shape the strategy for how new products are positioned, marketed, launched, and scaled.
Experimentation and Optimization
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
Develop robust data models and experiment-ready datasets that create a reliable source of truth for new product and growth analytics.
Build and maintain dashboards and self-service tools that give Growth Marketing, Product, Engineering, and leadership visibility into funnel performance and experiment results.
Advocate for upstream instrumentation best practices, working with Engineering to ensure events are captured with consistent schemas, timestamps, and validation.
Apply predictive modeling, segmentation, and other advanced analytical methods where they improve understanding of member behavior, demand, or intervention opportunities.
Basic Qualifications
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 insights for decision-making.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 other experimental frameworks.
Experience defining metrics, building data models, and establishing measurement frameworks in ambiguous or greenfield environments.
Preferred Qualifications
Knowledge of machine learning techniques for predictive modeling, segmentation, forecasting, and recommendation systems.
Requirements
- ·Bachelor’s degree in Computer Science, Economics, Mathematics, Statistics, or a related technical field, or equivalent professional experience.
- ·Experience with A/B testing, causal inference, funnel analysis, and other experimental frameworks.
- ·Experience defining metrics, building data models, and establishing measurement frameworks in ambiguous or greenfield environments.
- ·Preferred Qualifications
- ·Knowledge of machine learning techniques for predictive modeling, segmentation, forecasting, and recommendation systems.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Hinge Health, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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