Applied Scientist, Optimization & Logistics

What you will do

Modeling & Optimization

• Turn ambiguous operational problems into well-posed optimization, forecasting, or simulation tasks.
• Build strong baselines and improve on them efficiently, adding complexity only when the value justifies it.
• Develop solutions across operations research, optimization, and machine learning, choosing the right tool for the problem.
• Run careful analysis and iterate toward decisions that improve real operational outcomes — cost per visit, clinician utilization, patient access, and visits completed.

Evaluation & Scientific Rigor

• Design offline evaluations, simulated backtests, and live experiments that predict real-world operational impact.
• Find the gaps between a model’s assumptions and messy operational reality before they reach production.
• Choose metrics suited to stochastic, constrained, and partially observed operational systems.
• Interpret and communicate results effectively to cross-functional stakeholders.

Collaboration & Delivery

• Partner with Engineering to productionize optimization and decision systems reliably.
• Work with operations partners and SMEs to validate assumptions and review where decisions break down.
• Explain tradeoffs, uncertainty, and limitations clearly to product and leadership.

What you have done

• Strong foundations in operations research or optimization: modeling, algorithms, experimental design, and honest evaluation.
• Strong Python and SQL, the standard optimization and ML libraries, and the ability to run your own experiments end to end.
• Fluency with AI coding assistants (e.g., Claude Code, Cursor) in your day-to-day development workflow.
• Ability to turn an ambiguous problem into a well-posed optimization or forecasting task, discover and analyze related literature, and adapt/apply those methods to our tasks.
• Judgment about how uncertainty, constraints, and edge cases behave in real-world operational data.
• Interest in operations collaboration and applied healthcare impact.

What gives you an edge

• MS or PhD in operations research, industrial engineering, computer science, applied math, statistics, machine learning, or a related quantitative field; exceptional applied experience can substitute.
• Depth in a relevant area such as vehicle routing, scheduling, stochastic optimization, discrete-event simulation, queueing, or demand forecasting.
• Experience shipping optimization or decision systems that reached production and had material real-world impact.
• Hands-on experience with supply-and-demand matching in a marketplace, dispatch, or field-operations setting.
• Fluency deciding when an exact optimization approach beats a heuristic or learned one, and vice versa.

What we offer

• Meaningful pre-IPO equity
• Medical, dental, and vision plans 100% paid for you and your dependents
• Flexible PTO + 10 paid holidays per year
• 401(k) with match
• 16-week parental leave policy for birthing parent, 8 weeks for all other parents
• HSA + FSA contributions
• Life insurance, plus short and long-term disability coverage
• Free daily lunch in-office
• Annual learning stipend