Applied Scientist, Optimization & Logistics

The role

You will turn ambiguous operational problems into optimization, forecasting, or simulation tasks. You will build algorithms to match clinicians to patients and improve operational outcomes like cost per visit and clinician utilization.

What you will do

• Turn ambiguous operational problems into well-posed optimization, forecasting, or simulation tasks.
• Build strong baselines and improve on them efficiently.
• Develop solutions across operations research, optimization, and machine learning.
• Run analysis and iterate toward decisions that improve real operational outcomes.
• Design offline evaluations, simulated backtests, and live experiments.
• Find the gaps between a model's assumptions and operational reality.
• Choose metrics suited to stochastic, constrained, and partially observed operational systems.
• Interpret and communicate results to cross-functional stakeholders.
• Partner with Engineering to productionize optimization and decision systems.
• Work with operations partners to validate assumptions and review decision breakdowns.

Required qualifications

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

Nice to have

• 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.

Benefits

• 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
• Short and long-term disability coverage
• Free daily lunch in-office
• Annual learning stipend

Before you apply

• Recruiter Screen
• Hiring Manager Introduction
• Hands-on-Keys Technical Assessment
• Onsite Interview: Systems Design / Technical Case Study + Research Presentation + Behavioral Interview + Lunch with the Team
• References

About the company

Sprinter Health aims to reimagine how people access care by bringing it directly to their homes. They use technologies to deliver care where people are, supporting more than 2 million patients across 22 states.