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About the Role
As a Data Science Lead, you will embed with the Product team to own analytics for the patient lifecycle. You will develop a deep understanding of patient engagement, from starting care to retention, and translate this understanding into business opportunities. This role involves product analytics, experimentation, and predictive modeling within a marketplace setting. You will build and validate production-ready models, use causal inference to measure feature impact, and produce deep dives with clear recommendations. You will also contribute to the experimentation platform and collaborate with Product, Engineering, Design, and Growth teams.
Responsibilities
- Own patient lifecycle analytics end-to-end, defining metrics and surfacing insights to inform the product roadmap.
- Develop, validate, and maintain production-ready predictive models for churn, resurrection, and targeting.
- Deliver high-impact analyses, breaking down complex topics into clear narratives and recommendations with sized business opportunities.
- Design and analyze experiments, and apply causal inference methods to measure the impact of features and feature adoption.
- Act as a thought partner to Product, working backwards from problem sizing to proposing solutions and shaping team priorities.
- Contribute to the development of the experimentation platform, including methodology, standards, and tooling.
Requirements
- 6+ years of relevant experience, ideally owning data science or product analytics for a product area at a consumer tech company or marketplace.
- Expertise in experimentation and causal inference, with experience designing and analyzing experiments end-to-end.
- Proficiency in writing clean, performant SQL.
- Proficiency in Python.
- Curiosity, strategic thinking, and an outcome-oriented mindset.
- Ability to translate complex data into clear, actionable insights.
- Ability to balance speed with depth to drive high-impact decisions.
- Ability to communicate complex ideas with clarity, distilling deep analysis into crisp, actionable takeaways.
- Ability to earn trust across cross-functional teams.
- Motivation by impact and mission, with a belief in the power of food as medicine to transform healthcare.
- Excitement to improve lives at scale by contributing to Nourish's mission.
Skills
- Product Analytics
- Experimentation
- Predictive Modeling
- Causal Inference
- SQL
- Python
Location
- NYC
- Remote
Work Type
- Hybrid
Experience Level
- 6+ years
About the Company
- Health is the most important thing in life, and the American healthcare system is completely broken - poor outcomes, high cost, bad patient experience. We're building a new system from the ground up.
- Our mission is to improve people’s health by making it easy to live a healthy lifestyle.
- Nourish is the country's largest dietitian-led metabolic health clinic.
- We’re an AI-native digital health system matching patients with 10,000+ Registered Dietitians, physicians, medications, lab testing, and AI agents to deliver insurance-covered care across all 50 states.
- Founded four years ago, we've completed millions of appointments, tripled year-over-year, and partnered with health plans covering 200M+ Americans across 250+ health systems.
- In 2026 we raised a $100M Series C, bringing total funding to $215M.
- We hold an extremely high bar because we believe talent density is our biggest competitive advantage.
- We're looking for people who actively choose hard, ambiguous problems, who run toward unglamorous work, give and receive candid feedback, and bring relentless resilience without the ego.
- Our work is important, but we are not self-important.
- We do this because we’re solving one of the hardest problems in the world, and the problem matters.
- If that's you, we disproportionately reward it.