About The Team

Come help us build the world's most reliable on-demand, logistics engine for delivery! We are bringing on talented senior Data Scientists to help us develop and improve the models that power DoorDash's three-sided marketplace of consumers, merchants, and dashers. We are looking for Economists, Physicists, Mathematicians, Statisticians, and Senior Quantitative Researchers from all disciplines. You can read more about the types of Data Scientists we are looking for in our blog post Wanted: Data Scientists with Technical Brilliance AND Business Sense.

About The Role

As a Senior Data Scientist, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop inference and optimization models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other data scientists, engineers, analysts, and product managers to develop and iterate on models to help us grow our business.

You’re Excited About This Opportunity Because You Will…

  • Use causal inference to forecast the supply of available dashers as well as incoming delivery demand
  • Improve our recommendation, personalization and ranking algorithms (read more about it here)
  • Build econometric models for next generation pricing and pay algorithms
  • Improve operations research models used in real time vehicle routing in major metropolitan areas
  • Predict food preparation time for over 50,000 merchant partners

We’re Excited About You Because…

  • High-energy and confident — you’ll do whatever it takes to win
  • You’re an owner — driven, focused, and quick to take ownership of your work
  • Humble — you’re willing to jump in and you’re open to feedback
  • Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up!
  • Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
  • Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team
  • 5+ years of industry experience developing inference and optimization models with business impact — more experience preferred
  • Masters or PhD in Statistics, Economics, Mathematics, Physics, Economics, Operations Research, or other quantitative field
  • Deep understanding of at least one of probability, statistics, machine learning, causal inference, prediction, forecasting, optimization
  • Demonstrated coding and programming abilities (Python preferred)

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.

Apply for this Job

* Required

resume chosen  
(File types: pdf, doc, docx, txt, rtf)
When autocomplete results are available use up and down arrows to review
+ Add Another Education


USA - Self-Identification Survey

At DoorDash, we strive to create a culture of belonging where everyone can bring their best selves to work. Our goal is to ensure that diverse identities and perspectives are valued and can thrive. We are continuously evaluating our employee and candidate programs and processes and identifying ways to ensure they are inclusive and equitable. We encourage you to share a bit more about yourself below so we can continue to improve the overall candidate experience and inform future diversity and inclusion initiatives. 

While completion of this survey is required, you will have the option to select “I don't wish to answer” for all questions.  All information collected is kept confidential and your data is aggregated with other candidates and used only for statistical purposes. It is never used to identify you individually and has no bearing on your application or candidacy.

For race and ethnicity definitions, as well as more information on protected veteran and disability status, please refer to this document

Gender *






Do you identify as transgender? (Select one) *



Are you Hispanic or Latinx? (Select one) *



Race (*Please select one option that best describes how you identify*) (Select one) *












Sexual orientation (Select one) *








Pronouns (Select one) *










Protected Veteran Status (Select one) *



Disability Status (Select one) *