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 spaceDevelop and maintain production code in our core codebase, collaborating directly with engineering teams on architecture, implementation, and deploymentBuild sophisticated forecasting models that account for lead-time dynamics, where today's demand signals translate into future supply needs weeks laterCreate optimization algorithms for resource allocation problems involving competing objectives: efficiency, quality, equity, and business constraintsDevelop monitoring and inference systems to capture demand signals, capacity constraints, and network gaps in real-timeBuild predictive models leveraging growing datasets to improve decision-making speed and accuracy in resource-constrained environments Strategic Partnership & Business Impact Translate complex marketplace dynamics into actionable insights for demand and supply leadersDevelop analytical frameworks and decision-support tools that guide hiring, capacity planning, and market expansion strategiesIdentify and quantify marketplace inefficiencies, bottlenecks, and opportunities for improvementPartner with cross-functional stakeholders to balance competing priorities and define success metrics What You Bring: Required Technical Skills Advanced Python programming: You write clean, efficient, production-quality code and are comfortable working in large codebasesSQL expertise: Complex queries, performance optimization, and data pipeline designMachine Learning: Hands-on experience building, deploying, and monitoring ML models in productionOptimization: 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 analysisStatistical rigor: Deep understanding of experimental design, causal inference, and uncertainty quantification Preferred Experience Marketplace, two-sided network, or supply chain optimization problemsQueueing theory and stochastic processesReal-time decision systems and online algorithmsHealthcare operations, insurance networks, or credentialing systemsLarge-scale batch optimization problemsWorking directly in production codebases with software engineering teams Technical Mindset & Approach End-to-end ownership: You take problems from ambiguous business need through mathematical formulation, implementation, deployment, and ongoing monitoringProduction-first mentality: You build for scale, reliability, and maintainability, not just proof-of-conceptPragmatic problem-solving: You balance theoretical elegance with practical constraints and can make smart tradeoffsSystems thinking: You understand how pieces interact and design solutions that work within broader technical and organizational systems Leadership & Communication 5+ years of relevant experience (Senior) or 8+ years (Staff), with demonstrated progression in scope and impactProven ability to drive complex, ambiguous projects with minimal guidanceExcellence in communicating technical concepts to non-technical stakeholdersTrack record of influencing strategic decisions through data and analyticsComfort working at multiple altitudes: from debugging code to advising executives Why This Role Is Unique: Direct impact: Your code and models will directly power critical business operations, not just inform decisionsFull-stack data science: Equal parts algorithm design, software engineering, and strategic advisoryComplex problem space: Work on genuinely hard technical problems with real constraints and competing objectivesBusiness partnership: Regular engagement with senior leadership on high-stakes decisionsRapid iteration: See your work deployed and making impact quickly in a fast-moving environment What Success Looks Like: Production systems that measurably improve marketplace efficiency and patient/provider experienceTrusted advisor relationship with demand and supply leadershipCode contributions that meet engineering team standards for quality and maintainabilityFrameworks and tools that enable better, faster decision-making across the organizationVisible business impact through improved utilization, reduced waste, and smarter growth investments 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 🎥https://www.youtube.com/watch?v=1px7i6MVjNg #LI-JA1 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. Please find our CCPA Privacy Notice for California Candidates here. #J-18808-Ljbffr