Drimva

Midi Health

Staff Data Scientist

$250K

Hybrid - Palo Alto +2 · Staff · Full-time · Posted Jun 12, 2026

Location
Hybrid - Palo Alto
Palo Alto, California, United States
San Francisco, California, United States
Experience
8+ years of experience delivering high-impact data science solutions.
Education
Master’s or PhD in Economics, Econometrics, Applied Statistics, or a related quantitative discipline.
Visa sponsorship
Unable to provide visa sponsorship; candidates must be authorized to work in the U.S. without current or future sponsorship needs.

About the job

Build and own data models and simulations for unit economics, guiding pricing, marketing spend, retention, reimbursement forecasting, and profitability decisions.

What you'll do

  • Develop LTV, reimbursement, attribution, and churn-intervention models that account for healthcare reimbursement and contribution margins.
  • Design pricing experiments and cross-product analyses to optimize margins and subscriber retention.
  • Build stochastic business simulations and communicate actionable insights to executive, finance, marketing, and operations leaders.

What they ask for

  • Mastery of predictive modeling and causal inference, including uplift modeling and related techniques.
  • Production-grade machine learning experience, including deployment, evaluation, backtesting, validation, and drift detection.
  • Advanced Python and expert-level SQL; experience with attribution models, survival analysis, and stochastic modeling.
  • Demonstrated ability to translate statistical findings into business decisions and influence cross-functional roadmaps.

Nice to have

  • Experience in marketplaces, healthcare operations, or D2C subscription businesses.
  • Experience partnering strategically with finance and operations teams.

Pay

210-250K USD base salary

Tools

Python, SQL, Large Language Models (LLMs), generative AI, Markov chain, Monte Carlo

AI focus

Use LLMs and generative AI tools in personal development workflows to accelerate coding, debugging, documentation, and prototyping.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)