Staff Data Scientist, Actuarial
Nourish
About the role
About Us
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. The round was 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.
Learn more about our Series C here: Nourish Blog, Bloomberg, Fierce Healthcare, Digital Native, The Pulse Podcast.
This is not a job for everyone. 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.
About the Role
Can nutrition care meaningfully improve health outcomes while reducing healthcare costs? This question is critical to Nourish's mission and our ability to bring care to millions more patients.
As our Actuarial Data Scientist, you'll lead the effort to quantify the economic impact of Nourish care. You'll design rigorous claims-based studies, develop actuarial models, and translate your findings into compelling evidence that demonstrates the value of Nourish to existing and prospective payer partners.
You'll be our first dedicated actuarial data science hire, with the opportunity to shape how we measure, validate, and communicate our impact. Your work will directly influence our payer partnerships, commercial strategy, and understanding of where our care creates the most value.
This is a hands-on role, working closely with our Commercial and Clinical teams, partnering with Analytics Engineering, and reporting to our Head of Data.
Our data team is based in NYC and works from the office 3+ days a week, so we're looking for people who are excited to join us onsite and be part of that culture.
Key Responsibilities
Lead Nourish's payer value studies: Design and execute rigorous claims-based analyses to quantify the impact of Nourish care on medical and pharmacy spending, healthcare utilization, and total cost of care.
Develop credible causal impact estimates: Apply appropriate study designs, matched comparison groups, risk adjustment, and causal inference methods to isolate the incremental impact of Nourish care.
Model financial impact for prospective partners: Build actuarial models to estimate potential cost savings, PMPM impact, and ROI for specific health plan populations.
Translate evidence into compelling narratives: Produce clear study reports and executive summaries for health plan partners. Work alongside our Commercial team to communicate findings, explain methodologies and limitations, and address actuarial and clinical questions.
Identify where Nourish generates the greatest savings: Analyze which patient populations, conditions, and healthcare cost drivers offer the greatest potential for savings, and translate findings into actionable recommendations for our Commercial and Clinical teams.
Build a scalable analytical foundation: Partner with Analytics Engineering to develop reusable datasets, standardized methodologies, and repeatable analytical workflows that enable rigorous, efficient evaluations across payer populations.
We'd Love to Hear From You If You...
Have 5+ years of healthcare actuarial or medical economics experience: You've worked at a health plan, actuarial consultancy, employee benefits consultancy, or digital health company, and have deep experience analyzing healthcare costs and utilization.
Know healthcare claims data inside out: You're fluent in medical and pharmacy claims, eligibility data, and coding (ICD-10, CPT, HCPCS, NDC). You understand PMPM, cost trends, claims completion, risk adjustment, and the nuances that can make or break a healthcare savings analysis. Progress toward or completion of ASA or FSA is a plus.
Have designed or conducted claims-based evaluations of care programs, healthcare vendors, or clinical interventions. You understand what it takes to build a credible savings case, ideally having evaluated programs from the payer's perspective.
Bring rigorous statistical and causal inference skills: You're comfortable with observational study design, matched comparison groups, risk adjustment, and methods for addressing selection bias and confounding.
Are a hands-on, technically strong analyst: You write clean, performant SQL and are proficient in Python or R. You enjoy working directly with complex datasets and can independently drive an analysis from raw data through to actionable findings.
Can translate complex actuarial analyses into clear, persuasive narratives for technical and non-technical audiences. You can confidently defend your methodology, explain limitations, and address tough questions from health plan actuaries.
Thrive in an entrepreneurial, cross-functional environment: You're comfortable with ambiguity, take ownership from problem definition to delivery, and enjoy building new capabilities from the ground up.
Are motivated by impact and mission: You believe in the power of food as medicine to transform healthcare and are excited to improve lives at scale by contributing to Nourish's mission
More Information
The Nourish Bar
Our Values
Why Nourish Exists
How We Work
Comp Philosophy
Benefits
Responsibilities
- Lead claims-based studies measuring the impact of Nourish care on healthcare spending and utilization.
- Develop causal impact estimates using suitable study designs, comparison groups, and risk adjustment.
- Build actuarial models estimating cost savings, PMPM impact, and ROI for prospective health plan partners.
- Communicate study findings, methods, and limitations through reports and executive summaries.
- Identify patient populations and cost drivers where Nourish care may generate the greatest savings.
- Build reusable datasets, methodologies, and analytical workflows with Analytics Engineering.
Qualifications
- At least 5 years of healthcare actuarial or medical economics experience.
- Deep familiarity with medical and pharmacy claims, eligibility data, and healthcare coding.
- Experience with PMPM, cost trends, claims completion, risk adjustment, and healthcare savings analyses.
- Experience evaluating care programs, healthcare vendors, or clinical interventions using claims data.
- Strong skills in observational study design, causal inference, matched comparisons, and addressing bias and confounding.
- Proficiency in SQL and Python or R, with the ability to independently analyze complex datasets.
- Ability to explain and defend complex analyses to technical and non-technical audiences.
- Comfort with ambiguity, cross-functional collaboration, and building new capabilities.
Skills mentioned
About Nourish
Nourish is addressing the root cause of the chronic disease crisis through AI-powered, insurance-covered virtual nutrition care. We are tackling one of the most important problems in the world — our broken healthcare system. We are building a digital health system that is patient-friendly, prioritizes lifestyle change, delivers outcomes, and lowers costs.
H-1B sponsorship history
Historical employer filing data was found for Nourish. The employer record includes 3 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.