Senior / Staff Data Scientist

📍 Palo Alto, CA (Hybrid – 2 days / week in office) Reports to : Director Data Science + Analytics

About Midi Health :

Midi Health is the fastest-growing virtual clinic focused exclusively on women’s midlife health. We deliver insurance-covered care for women navigating perimenopause, menopause, and other hormone-related health challenges. Our care model combines clinical expertise with technology to improve access, outcomes, and quality of life for millions of women.

We’ve raised backing from top-tier investors and are scaling rapidly, now caring for hundreds of thousands of patients across the U.S. If you’re energized by building in a fast-growth, mission-driven environment, we’d love to meet you.

About the Role :

We're seeking an exceptional Senior to Staff-level Data Scientist to tackle one of our most critical challenges : optimizing a complex, dynamic healthcare marketplace where demand and supply must be intelligently matched across multiple dimensions. At its core, this is a sophisticated network optimization problem characterized by heterogeneous customer queues with varying booking lead times, continuous flux from cancellations and rescheduling, and multi-dimensional constraints including geography, insurance networks, provider credentials, and capacity utilization.

This role uniquely blends deep technical execution with strategic business impact. You'll write production-quality code that directly powers our platform while partnering with demand and supply leadership to shape critical decisions about where and how we grow. If you're energized by the opportunity to own complex optimization problems end-to-end—from mathematical formulation to production deployment to business strategy—this role is for you.

What You'll Do

Technical Ownership & Execution

• Design, build, and deploy optimization and machine learning systems that power intelligent matching between patients and clinicians across a multi-dimensional constraint space
• Develop and maintain production code in our core codebase, collaborating directly with engineering teams on architecture, implementation, and deployment
• Build sophisticated forecasting models that account for lead-time dynamics, where today's demand signals translate into future supply needs weeks later
• Create optimization algorithms for resource allocation problems involving competing objectives : efficiency, quality, equity, and business constraints
• Develop monitoring and inference systems to capture demand signals, capacity constraints, and network gaps in real-time
• Build predictive models leveraging growing datasets to improve decision-making speed and accuracy in resource-constrained environments

Strategic Partnership & Business Impact

What You Bring :

Required Technical Skills

Preferred Experience

Technical Mindset & Approach

Leadership & Communication

Why This Role Is Unique :

What Success Looks Like :

Interview Process :

Recruiter Screen- 30-45 mins

Hiring Manager Screen- 45 mins

Technical Screen- 1hr

Panel Interviews- 3-4 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 for this role will depend on experience.Midi pays a competitive base salary, plus equity and benefits.

While you’re waiting for us to review your portfolio, here’s some fun content to check out 🎥

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Midi Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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