# Head of Data Science

**Company:** [Function Health](https://hotfix.jobs/companies/function-health)
**Location:** Remote
**Role:** Data Science
**Experience:** 10+ years
**Skills:** SQL, Experimentation, Causal Inference, Segmentation, Cohort Analysis, Retention Analysis, Funnel Analysis, Statistical Reasoning, Metric Design, Executive Reporting
**Posted:** 2026-06-09

> Lead and scale the Data Science function, partnering with Product, Growth, and other teams to drive acquisition, engagement, retention, and health outcomes through rigorous analytics and experimentation.

## Job Description

## Key Responsibilities
- Lead, manage, and develop a high-performing Data Science team, including coaching, performance management, career development, hiring, leveling, and team operations.
- Set the Data Science strategy and roadmap across Function’s consumer business, spanning acquisition, activation, engagement, retention, member health outcomes, marketing, finance, operations, and product experience.
- Partner with Product, Engineering, Growth, Marketing, Clinical, Finance, and Operations leaders to prioritize the highest-impact DS work and ensure the team is focused on the most important company outcomes.
- Build the operating model for the DS function, including intake, prioritization, stakeholder management, project planning, quality standards, and communication cadences.
- Establish and evolve Function’s core product and business measurement frameworks, including north-star metrics, funnels, retention, engagement, member value, experimentation standards, and executive reporting.
- Raise the quality of company decision-making by ensuring analyses are rigorous, actionable, clearly communicated, and tied to concrete product, operational, or business decisions.
- Guide the team in applying the right analytical methods to the right problems, including experimentation, causal inference, segmentation, forecasting, behavioral analysis, personalization, and measurement of member health-related outcomes.
- Partner with Data Engineering, Analytics Engineering, and Product Engineering to improve the reliability, usability, and governance of Function’s data foundations while enabling the DS team to move quickly.

## Qualifications
- 10+ years of experience in data science, product analytics, or applied analytics, including significant experience in consumer technology, subscription, marketplace, fintech, health-tech, or another high-scale digital product environment.
- 4+ years of people-management experience, including direct management of data scientists or product analysts; experience leading a team of 15+ is strongly preferred.
- Proven ability to build, lead, and scale a Data Science function, including hiring, coaching, performance management, team structure, planning, prioritization, and operating cadences.
- Strong product and business judgment, with a track record of using data to influence roadmap decisions, growth strategy, retention strategy, operational performance, and executive-level tradeoffs.
- Deep fluency in product and business analytics, including funnels, retention, engagement, cohort analysis, segmentation, experimentation, causal inference, metric design, and executive reporting.
- Excellent executive communication and stakeholder management skills, with the ability to translate ambiguous business problems into analytical roadmaps and clear decisions.
- Strong technical fluency in modern data science and analytics workflows, including SQL, statistical reasoning, experimentation, and analytical tooling.

## Nice to Have
- Experience with subscriptions, personalization, lifecycle growth.

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