Midi Health

Healthcare

StaffDataScientist

Palo Alto, California, United States FULL TIME Remote Friendly
The Brief

“Staff Data Scientist at Midi Health. Skills: Unit Economics, LTV & Reimbursement Modeling, Cross-Product Attribution, Causal Inference, Python, SQL. Design, build, and own the end-to-end data framework that defines business health: Unit Economics. Connect customer acquisition, multi-product lifecycles, healthcare reimbursement cycles, and operational cost structures. Serve as the financial and analytical source of truth, directly influencing marketing spend, product pricing, retention management”

What You'll Achieve.

Influence the CAC Decision Curve, Causal Churn Intervention, Strategic Macro-Simulation Systemic Stress-Testing.

Industry & Context.

Healthcare
Problems you'll solve

system design; strategic problem structuring

Eligibility Requirements

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

What They're Looking For.

Must Have

8+ years of experience delivering high-impact data science solutions. Master’s or PhD in Economics, Econometrics, Applied Statistics, or a related quantitative discipline. Demonstrated progression in scope and impact, with a history of acting as a strategic partner to finance and operations teams. Candidates must be authorized to work in the U. S. without current or future sponsorship needs.

Nice to Have

Ideally, your background includes time in Marketplaces, Healthcare operations, or D2C subscription businesses.

What You'll Do.

Design, build, and own the end-to-end data framework that defines business health: Unit Economics.

Connect customer acquisition, multi-product lifecycles, healthcare reimbursement cycles, and operational cost structures.

Serve as the financial and analytical source of truth, directly influencing marketing spend, product pricing, retention management, and long-term profitability projections.

Act as a critical strategic partner to executive leadership.

How You'll Work.

Team & Collaboration

Sit at the intersection of Data Science, Finance, Marketing, and Operations. Influence cross-functional roadmaps with data.

Communication Scope

actionable frameworks

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