Staff Data Scientist

Hybrid Palo Alto (Hybrid 2 days/week in office)
Reports to: Director Data Science Analytics
Job Type: Full-time W2

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 wont just build standalone models; you will connect the dots between customer acquisition multi-product lifecycles complex healthcare reimbursement cycles and operational cost structures. Your 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 realitiessuch as state-by-state clinician licensing costs and wage rangesensuring 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 linesspecifically 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

Technical Skills

• 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.

Analytical Capabilities

• 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.

Experience

• 8 years of experience delivering high-impact data science solutions.
• Masters 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.

Recruiter Screen- 30 mins
Hiring Manager Screen- 45 mins
Technical Screen- 1hr
Panel Interviews- 2-3 hours Lunch in Office in Palo Alto

At this time Midi is unable to provide visa sponsorship. Candidates must be authorized to work in the U.S. without current or future sponsorship needs.

The Salary range base salary is 210-240K and will depend on pays a competitive base salary plus equity and benefits.

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this time Midi isunable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs.

Please note that all official communication from Midi Health will come from an @email address. We willnever ask for payment of any kind during the application or hiring you receive any suspicious communication claiming to be from Midi Health please report it immediately by emailing us at.

Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or protected veteran status. Our compensation philosophy is based on fair objective criteria and the impact of the role regardless of an applicants salary history.

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