Staff Data Scientist, Midi Health
$210-240k
Offers equity
More information about location
2 days a week in office (Palo Alto, CA)
Virtual women’s midlife healthcare clinic
Be an early applicant
Virtual women’s midlife healthcare clinic
501-1000 employees
Be an early applicant
$210-240k
Offers equity
More information about location
2 days a week in office (Palo Alto, CA)
501-1000 employees
Company mission
To bring compassionate, high-quality medical care to women 35+.
Role
Who you are
- Advanced Modeling & Stats: Mastery of predictive modeling and Causal Inference techniques (e.g., uplift modeling, propensity score matching, synthetic controls, or diff-in-diff)
- Production-Grade Engineering: Proven experience architecture - building, deploying, and maintaining production-grade machine learning models. You write clean, modular, and well-tested code that integrates seamlessly into downstream workflows
- Expert-Level Evaluation: Deep expertise in model evaluation methodologies, backtesting, and validation. Because your models directly impact financial forecasts and pricing decisions, you have a rigorous approach to error analysis, cross-validation, and drift detection
- Attribution & LTV: Proven track record building attribution models (algorithmic or heuristic) and handling survival analysis for churn and retention forecasting
- Programming & Querying: Advanced proficiency in Python for complex statistical analysis, alongside expert-level SQL for manipulating large data streams
- Simulation Design: Experience structuring systemic business simulations or stochastic modeling
- Modern AI Workflow: Active adoption and mastery of Large Language Models (LLMs) and generative AI tools within your personal development workflow to accelerate coding, debugging, documentation, and prototyping
- Unit Economics Intuition: You have a deep, near-obsessive understanding of the relationship between CAC, LTV, payback periods, gross margins, and contribution margins
- Business Acumen: The ability to translate complex statistical outputs into clean, actionable frameworks for the CFO, CMO, and executive leaders. You know how to influence cross-functional roadmaps with data
- Strategic Problem Structuring: Ability to take vague, complex business questions and break them down into answerable, high-impact analytical components
- 8+ years of experience delivering high-impact data science solutions
- Master’s or PhD in Economics, Econometrics, Applied Statistics, or a related quantitative discipline
- Ideally, your background includes time in Marketplaces, Healthcare operations, or D2C subscription businesses
- Demonstrated progression in scope and impact, with a history of acting as a strategic partner to finance and operations teams
What the job involves
- Reports to: Director Data Science + Analytics
- We are looking for a highly strategic Senior or Staff Data Scientist to design, build, and own the end-to-end data framework that defines our business health: Unit Economics
- In this role, you won't just build standalone models; you will connect the dots between customer acquisition, multi-product lifecycles, complex healthcare reimbursement cycles, and operational cost structures
- Our work will serve as the financial and analytical source of truth, directly influencing how we allocate marketing spend, price our products, manage retention, and project long-term profitability
- You will sit at the intersection of Data Science, Finance, Marketing, and Operations, acting as a critical strategic partner to executive leadership
- Unified LTV & Reimbursement Modeling:
- Bridge Estimated vs. Realized LTV: Develop sophisticated lifetime value models that account for the volatility of healthcare reimbursements and the time value of money
- Predictive Reimbursement Rates: Build models to predict actual reimbursement rates across a complex mix of insurance allowables and self-pay tracks, closing the gap between theoretical revenue and cash-in-hand
- Integrate Margin Constraints: Establish the foundational frameworks that incorporate operational realities—such as state-by-state clinician licensing costs and wage ranges—ensuring our LTV calculations reflect true contribution margins
- Cross-Product Attribution & Portfolio Optimization:
- Blended Contribution Margin: Optimize "basket composition" and cross-sell dynamics between our physical supplement lines and clinical services to maximize total margin
- Multi-Touch & Cross-Product Attribution: Build advanced attribution models (Markov chain, ML-based) to quantify the interplay between product lines—specifically tracking how supplement purchases drive clinical visit adoption and vice versa
- Price Elasticity: Design and analyze pricing experiments for supplement products to identify optimal margin-maximizing price points without degrading long-term subscriber retention
- Causal Inference & Growth Intelligence:
- Influence the CAC Decision Curve: Utilize your LTV and margin frameworks to influence the marginal LTV curves that marketing uses, helping them determine the exact point of diminishing returns on ad spend
- Causal Churn Intervention: Move beyond simple churn prediction. Build uplift models to identify which at-risk customers will respond positively to specific interventions (e.g., targeted offers, clinical outreach), preserving margin by avoiding unnecessary discounting on "sure things" or "lost causes."
- Strategic Macro-Simulation:
- Systemic Stress-Testing: Build stochastic (Monte Carlo) macro-simulations to help leadership and finance stress-test our business model. You will answer questions like: "If a major insurance payer shifts an allowable rate in a key state, how does that impact our payback period and portfolio margin?"
Application process
- Recruiter Screen- 30 mins
- Hiring Manager Screen- 45 mins
- Technical Screen- 1hr
- Panel Interviews- 2-3 hours + Lunch in Office in Palo Alto
Our take
Women’s health is widely known to be an under-researched and undervalued sector of the global health market. So there is considerable opportunity for companies and researchers to delve deeper. Focusing on menopause specifically is Midi Health, founded in 2021.
Midi Health has built an offering that includes telehealth visits, at-home testing and supplement delivery. The company looks to support women through a trying phase, tailoring its approach to individual needs rather than grouping all women into one case - like classic healthcare has tended to do.
A huge win for the company is that the program is supported by major insurance plans in America - creating accessibility for a large number of women. With a large dose of funding, Midi Health continues to scale and expand its services to more states. It achieved unicorn status in 2026.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Feb 2026
$100m
SERIES D
Oct 2025
$50m
SERIES C
Total funding: $262.9m
Company benefits
- Medical, Dental, and Vision
- 401K
- Flexible Paid Time Off
- Parental Leave
- New Hire Equipment Stipend
- Monthly Remote Work Stipend
Company HQ
Downtown Menlo Park, Menlo Park, CA
Leadership
Joanna Strober
(Co-founder & CEO)Previously Founder and COO of Kurbo Health (acquired by WW in 2018), where they later became SVP. Co-author of Getting to 50/50.
Sharon Meers
(Co-founder & President)Co-founder and Advisor for The People. Previously, worked at Ebay first as Head of Sales and Business Development, and then as Head of Strategic Partnerships. Also Director of Capital Group | American Funds.
Jill Herzig
(Co-founder & Head of Brand Innovation)A vast background in editing within the magazine industry. Went on to become Content Officer for January AI and Senior Director, Content Innovation at WW (formerly Weight Watchers).
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