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Staff Data Scientist, Actuarial

Pay
Pay not listedSimilar roles state $118K–$194K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting

Can 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

From the employer’s posting
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.

About Nourish

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

Apply at Nourish

Posting record

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Actively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 30, 202610 days ago
Recorded sightings
11
Last seen by us
Nov 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

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.

Nourish is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • 25% of open jobs were reposted
Hiring record

See how this role fits your experience

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  • Python
  • R
  • SQL
Where the posting names them
- 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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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,139.
August 17Last week

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.

About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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

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New York, NY

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