Operations Research Scientist

DoorDash USA; San Francisco, Sunnyvale (CA, CA); Hybrid; USD 131,000 - 285,000; Full time

Benefits offered by this job

401(k) with employer matching

Paid parental leave (16 weeks)

Wellness benefits

Commuter benefits match

Paid time off & sick leave as per law

Medical benefits

Dental benefits

Vision benefits

11 paid holidays

Disability & life insurance

Family-forming assistance

Mental health program

Job summary

DoorDash, Inc. is seeking Operations Research Scientists to join the Assignment team, reporting to an Operations Research manager in a hybrid role.

You will work with logistics data to enhance dispatching through optimization and machine learning, collaborating with engineers, data scientists, product managers, and operators. The role emphasizes producing production-ready algorithm components, analyzing data, and translating insights into scalable solutions for consumers, dashers, and merchants,

Qualifications

• 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 exercising discretion and independent judgment in performing job duties.

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.

Skills

Optimization

Machine learning

Programming fundamentals

OOP & FP

Discretion and judgement

Education

PhD in operations research/IE/CS

Job description

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 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.

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.

• 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)
• medical benefits
• dental benefits
• vision benefits
• 11 paid holidays
• disability and basic life insurance
• family-forming assistance
• mental health program

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).

The national base pay ranges for this position within the United States, including Illinois and Colorado.

$130,600 - $192,000 USD

$159,800 - $235,000 USD

$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 by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order 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.

Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Metaview.

How it works:
Metaview assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Metaview or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.