Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
New York, NY
Actively hiring, first seen by us 10 days agoCan nutrition care meaningfully improve health outcomes while reducing healthcare costs?
As our Actuarial Data Scientist, you'll lead the effort to quantify the economic impact of Nourish care.
Design and run claims-based analyses of Nourish's impact on spending and utilization
Apply matched comparison groups, risk adjustment and causal inference to isolate impact
Build actuarial models of cost savings, PMPM impact and ROI for prospective health plans
Write study reports and executive summaries for health plan partners
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.
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.
Apply appropriate study designs, matched comparison groups, risk adjustment, and causal inference methods to isolate the incremental impact of Nourish care.
Build actuarial models to estimate potential cost savings, PMPM impact, and ROI for specific health plan populations.
Produce clear study reports and executive summaries for health plan partners.
Our mission is to improve people’s health by making it easy to live a healthy lifestyle.
In the employer’s words · Read in context
Actively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Day 10
Similar jobs usually come down between day 7 and day 57.
From 10,789 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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.
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New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
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.
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New York, NY
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