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Nourish is the country's largest dietitian-led metabolic health clinic, 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, the company has completed millions of appointments, tripled year-over-year, and partnered with health plans covering 200M+ Americans across 250+ health systems. In 2026, Nourish raised a $100M Series C (total funding $215M) led by Menlo Ventures with participation from Thrive Capital, Index Ventures, J.P. Morgan Growth Equity Partners, Maverick Ventures, Y Combinator, BoxGroup, Atomico, Daybreak, and Operator Partners.
As Data Science Lead, you will embed with the Product team and own analytics for the patient lifecycle—developing a deep understanding of how patients start care, stay engaged, churn, and return, and translating that understanding into business opportunities. This role blends product analytics, experimentation, and predictive modeling in a marketplace setting.
Key responsibilities include:
- Own patient lifecycle analytics end-to-end: define metrics and surface insights that shape understanding of patient behavior and inform the product roadmap
- Develop production-ready predictive models: build, validate, and maintain models of churn, resurrection, and targeting
- Deliver high-impact analyses: break down complex topics into clear narratives and recommendations with sized business opportunities
- Drive scientific decision-making: design and analyze experiments, and apply causal inference methods to measure the impact of features and feature adoption
- Be a thought partner to Product: work backwards from problem sizing to proposing solutions, and shape team priorities and roadmaps
- Contribute to the experimentation platform: help build the methodology, standards, and tooling that teams across the company rely on
The data team is based in NYC and goes into the office 2-3 days a week. While no specific number of days in office is required, the company is looking for people excited to join onsite.
Requirements:
- 6+ years of relevant experience: owned data science or product analytics for a product area, ideally at a consumer tech company or marketplace
- Experimentation and causal inference expertise: designed and analyzed experiments end-to-end, and applied causal inference methods where experiments weren't feasible
- Strong technical skills: write clean, performant SQL and are proficient in Python
- Curious, strategic, and outcome-oriented: proactively shape the right questions, translate complex data into clear actionable insights, and balance speed with depth to drive high-impact decisions
- Strong communication: distill deep analysis into crisp, actionable takeaways and earn trust across cross-functional teams
- Mission-driven: believe in the power of food as medicine to transform healthcare and are excited to improve lives at scale
