Midi Health · 10 hours ago
Senior/Staff Data Scientist
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
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
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
Preferred
Marketplace, two-sided network, or supply chain optimization problems
Queueing theory and stochastic processes
Real-time decision systems and online algorithms
Healthcare operations, insurance networks, or credentialing systems
Large-scale batch optimization problems
Working directly in production codebases with software engineering teams
Benefits
Competitive base salary
Equity
Benefits
Company
Midi Health
Midi Health provides virtual care for women in midlife, offering clinician support for menopause, hormonal health, and related conditions.
Funding
Current Stage
Growth StageTotal Funding
$152MKey Investors
Advance Venture PartnersEmerson CollectiveGoogle Ventures
2025-10-02Series C· $50M
2024-04-24Series B· $63M
2023-09-27Series A· $25M
Recent News
2025-11-01
2025-10-31
CB Insights
2025-10-24
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