Applied Scientist, Optimization & Logistics

What this role involves

Sprinter Health is seeking an Applied Scientist to develop optimization models and decision systems for matching clinicians to patients in a home healthcare logistics platform. The role involves turning ambiguous operational problems into well-posed optimization tasks, building baselines, and collaborating cross-functionally to productionize solutions. The position is hybrid with four days in-office and one remote day.

Skills this posting asks for

• operations research
• optimization
• machine learning
• forecasting
• simulation
• python
• mathematical modeling

Requirements

• Level: mid
• Remote policy: hybrid

From the employer’s posting

About Sprinter Health: At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoin…