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Midi Health · 9 hours ago

Senior/Staff Data Scientist

Palo Alto, CA

Full-time

Hybrid

Senior Level, Lead/Staff

$175K/yr - $250K/yr

5+ years exp

Midi Health is the fastest-growing virtual clinic focused on women’s midlife health, delivering insurance-covered care for women navigating hormone-related health challenges. They are seeking a Senior to Staff-level Data Scientist to optimize a complex healthcare marketplace by developing and deploying machine learning systems and optimization algorithms that intelligently match patients with clinicians.

Health CareMedicalTherapeuticsWomen's

No H1B

Responsibilities

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

Translate complex marketplace dynamics into actionable insights for demand and supply leaders

Develop analytical frameworks and decision-support tools that guide hiring, capacity planning, and market expansion strategies

Identify and quantify marketplace inefficiencies, bottlenecks, and opportunities for improvement

Partner with cross-functional stakeholders to balance competing priorities and define success metrics

Qualification

Advanced Python programmingSQL expertiseMachine LearningOptimizationSimulation & ForecastingStatistical rigorEnd-to-end ownershipProduction-first mentalityPragmatic problem-solvingSystems thinkingLeadership & Communication

Required

Advanced Python programming: You write clean, efficient, production-quality code and are comfortable working in large codebases

SQL expertise: Complex queries, performance optimization, and data pipeline design

Machine Learning: Hands-on experience building, deploying, and monitoring ML models in production

Optimization: Strong foundation in mathematical optimization (linear programming, mixed-integer programming, constraint satisfaction, heuristic methods)

Simulation & Forecasting: Experience modeling dynamic systems, time-series forecasting, and scenario analysis

Statistical rigor: Deep understanding of experimental design, causal inference, and uncertainty quantification

5+ years of relevant experience (Senior) or 8+ years (Staff), with demonstrated progression in scope and impact

Proven ability to drive complex, ambiguous projects with minimal guidance

Excellence in communicating technical concepts to non-technical stakeholders

Track record of influencing strategic decisions through data and analytics

Comfort working at multiple altitudes: from debugging code to advising executives