Operations Research Scientist

DoorDash; Sunnyvale (CA); Hybrid; USD 130,000 - 192,000; Part time

Job summary

Join DoorDash as an Operations Research Scientist to leverage your expertise in optimization and machine learning. Contribute to the development of innovative algorithms that enhance the efficiency of our logistics platform, impacting consumers and merchants alike. This hybrid role offers a chance to dive into logistics data and collaborate with a diverse team.

Benefits

401(k) plan with employer matching

16 weeks paid parental leave

Comprehensive medical, dental, and vision benefits

Flexible paid time off

Qualifications

• Experience in mathematical programming or metaheuristics (3+ years).
• Strong programming fundamentals and understanding of algorithms.

Responsibilities

• Design and implement new algorithm components.
• Integrate optimization techniques to enhance dispatching efficiency.
• Analyze logistics data to extract insights for algorithm development.

Skills

Optimization

Machine Learning

Data Analysis

Education

PhD or Master's in Operations Research

Job description

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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 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
  
  

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
  
  

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

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 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.

To learn more about our benefits, visit our careers page here.

See Below For Paid Time Off Details

• 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).
  
  

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.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

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.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Part-time

Job function

• Job function

  Other

• Industries

  Software Development

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