The Operations Research Scientist role at DoorDash focuses on leveraging logistics data to enhance the efficiency of the company's dispatching system. This hybrid position involves collaboration with various teams to develop scalable solutions that benefit consumers, dashers, and merchants. The successful candidate will utilize advanced optimization and machine learning techniques to extract insights and improve decision-making processes. Reporting to an Operations Research manager, this role is integral to building a reliable logistics platform.

• PhD in operations research, industrial engineering, computer science, or a related field
• 2+ years of post-graduate research or industry experience in solving complex optimization problems using mathematical programming or metaheuristics
• Experience in object-oriented and functional programming languages, and an understanding of algorithms
• Ability to exercise discretion and independent judgment in performing job duties

• Design and implement new algorithm components within the production dispatching system to meet emerging requirements
• Integrate state-of-the-art optimization and machine learning techniques to improve dispatching decisions
• Extract insights from logistics systems through data analysis and modeling
• Collaborate with engineers, data scientists, product managers, and business operators to develop scalable solutions