Operations Research Scientist (San Francisco) (San Francisco) Job at Data Masked, San Francisco, CA

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  • Data Masked
  • San Francisco, CA

Job Description

Join to apply for the Operations Research Scientist role at DoorDash .

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'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.

We're Excited About You Because You Have...

  • PhD. or masters in operations research, industrial engineering, computer science or a related field.
  • 3+ years of research or industry experience working on complex optimization problems through mathematical programming or metaheuristics.
  • Programming fundamentals, experience in object-oriented and functional programming languages, and an understanding of algorithms.

Compensation

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package for all regular employees that includes a 401(k) plan with an employer match, paid time off, paid parental leave, wellness benefits, and several paid holidays. Paid sick leave in compliance with applicable laws.

The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.

I4 : $130,600—$192,000 USD

I5 : $159,800—$235,000 USD

I6 : $193,800—$285,000 USD

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

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Research Scientist • San Francisco, CA, United States

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Job Tags

Holiday work, Full time, Local area,

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