Operations Research Scientist
About The Position
Come help us build the world's most reliable on-demand logistics engine for delivery! We're bringing on experienced scientists/engineers to help us create the real-time logistics platform that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. You will be reporting to an Operations Research manager and this will be a hybrid role. About the Role Operations Research Scientists on the Assignment team have the opportunity to dive into a wealth of logistics data, and use advanced optimization and machine learning techniques to maximize the value for our consumers, dashers, merchants, and DoorDash. You will be reporting to an Operations Research manager and this will be a hybrid role. You're excited about this opportunity because you will... Design and implement new algorithm components within our production dispatching system to meet emerging requirements Integrate state-of-the-art optimization and machine learning techniques to improve the efficiency and quality of our dispatching decisions Extract insights from logistics system through analyzing data and modeling and translate those insights into production algorithm components Collaborate with engineers, data scientists, product managers, business operators, and more to develop cross-cutting and scalable solutions to guide value for our consumers, dashers, and merchants
Requirements
- 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
- Programming fundamentals, experience in object-oriented and functional programming languages, and an understanding of algorithms
- Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities.
Responsibilities
- Design and implement new algorithm components within our production dispatching system to meet emerging requirements
- Integrate state-of-the-art optimization and machine learning techniques to improve the efficiency and quality of our dispatching decisions
- Extract insights from logistics system through analyzing data and modeling and translate those insights into production algorithm components
- Collaborate with engineers, data scientists, product managers, business operators, and more to develop cross-cutting and scalable solutions to guide value for our consumers, dashers, and merchants
Benefits
- In addition to base salary, the compensation for this role includes opportunities for equity grants.
- DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.
- For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
- For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
