Staff Data Scientist, Actuarial

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.

• 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.

• 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