Applied Scientist, Optimization & Logistics

Posted Jul 17, 2026

Sprinter HealthSan Francisco, CAHybridfull_timemid

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Tech Stack

PythonSQLMachine LearningClaude CodeCursor

Responsibilities

Turn ambiguous operational problems into well-posed optimization, forecasting, or simulation models
Develop solutions across operations research, optimization, and machine learning to improve operational outcomes
Design offline evaluations, simulated backtests, and live experiments to predict real-world operational impact
Partner with Engineering to productionize optimization and decision systems reliably
Explain tradeoffs, uncertainty, and limitations clearly to cross-functional stakeholders

Soft Skills

Operations ResearchMathematical OptimizationExperimental DesignStochastic OptimizationDiscrete-Event SimulationDemand Forecasting

Benefits

401k
Dental
Disability Insurance
Equity
Flexible PTO
HSA/FSA
Health Insurance
Hybrid Work
Learning Budget
Life Insurance
Parental Leave
Vision

Culture

Cross-Functional TeamsWork-Life BalanceCollaborative Space

Requirements

Preferred: MS or PhD in Operations Research, Industrial Engineering, Computer Science, Applied Math, Statistics, Machine Learning, or a related quantitative field

Regions: Us

About Sprinter Health

Industry: healthtech

Size: small

Sprinter Health reimagines clinical access by bringing preventive and chronic care directly to patients' homes through the use of advanced logistics and marketplace matching technology.

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Compensation

Equity: Meaningful pre-IPO equity

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