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Home›Jobs›DoorDash USA›Operations Research Scientist
DoorDash USA

About DoorDash USA

Connecting food lovers with local restaurants

🏢 Tech👥 1001+ employees📅 Founded 2013📍 Mid-Market, San Francisco, CA💰 $2.5b⭐ 3.7
B2CB2BMarketplaceFoodConsumer GoodsDeliveryeCommerce

Key Highlights

  • Public company (NYSE: DASH) with a major IPO in 2020
  • Over 450,000 restaurant partners across the U.S. and Canada
  • $2.5 billion raised in funding from top investors
  • Headquartered in San Francisco, CA with 1001+ employees

DoorDash is a leading local food delivery platform headquartered in San Francisco, CA, connecting food lovers with over 450,000 restaurants across the U.S. and Canada. Since its IPO in 2020, which was one of the largest of the year, DoorDash has raised $2.5 billion in funding and now employs over 1,...

🎁 Benefits

DoorDash offers unlimited paid time off, flexible work-from-home opportunities, comprehensive health insurance, a work-from-home stipend, and company ...

🌟 Culture

DoorDash fosters a competitive culture focused on innovation and transparency, particularly in its fee structures for restaurants. The company emphasi...

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DoorDash USA

Operations Research Scientist

DoorDash USA • San Francisco, CA; Sunnyvale, CA

Posted 3d ago🏢 HybridMid-LevelOperations research scientist📍 San francisco📍 Sunnyvale
Apply Now →

Skills & Technologies

Machine learningOptimization

Overview

DoorDash is hiring an Operations Research Scientist to enhance their logistics platform using advanced optimization and machine learning techniques. You'll work with logistics data to improve dispatching decisions and collaborate with cross-functional teams. A PhD or master's in a related field and 3+ years of experience are required.

Job Description

Who you are

You hold a PhD or master's degree in operations research, industrial engineering, computer science, or a related field, and you have 3+ years of research or industry experience tackling complex optimization problems. You are excited about leveraging your expertise to enhance logistics systems and improve operational efficiency. You have a strong foundation in machine learning and optimization techniques, and you are eager to apply these skills in a real-world setting. You thrive in collaborative environments, working alongside engineers, data scientists, and product managers to develop scalable solutions that deliver value to consumers, dashers, and merchants.

Desirable

Experience with real-time logistics systems or on-demand delivery platforms is a plus. Familiarity with data analysis and modeling tools will help you extract insights from logistics data effectively. You are comfortable working in a hybrid role, balancing time between remote work and in-office collaboration. Your ability to communicate complex ideas clearly will enable you to engage with various stakeholders and drive impactful decisions.

What you'll do

As an Operations Research Scientist at DoorDash, you will design and implement new algorithm components within our production dispatching system to meet emerging requirements. You will integrate state-of-the-art optimization and machine learning techniques to enhance the efficiency and quality of our dispatching decisions. Your role will involve analyzing logistics data to extract insights and translate those insights into production algorithm components. You will collaborate with engineers, data scientists, product managers, and business operators to develop cross-cutting and scalable solutions that guide value for our consumers, dashers, and merchants. You will also have the opportunity to dive deep into logistics data, using your analytical skills to inform decision-making and improve operational processes.

What we offer

At DoorDash, we are committed to building a diverse and inclusive workplace. We offer competitive compensation and benefits, including health insurance, retirement plans, and opportunities for professional development. You will be part of a dynamic team that is passionate about transforming the logistics landscape. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to create the world's most reliable on-demand logistics engine for delivery.

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