Director of Data Science, Machine Learning - Personalization & Advertising

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.

As a Head of Machine Learning Data Science for Personalization and Advertising, you will have the opportunity to lead and grow a team of data scientists to identify and prioritize our machine learning investments in the Consumer App. Your team will leverage our robust data and infrastructure to develop complex models that impact millions of users across our three audiences and tackle our most challenging business problems during the Consumer experience. This will include how we parse Search queries, Rank results, create personalized Recommendations in carousels, most effectively spend DoorDash dollars on acquiring new Consumers, optimally spend Merchants’ budgets on acquiring Consumers through email,  best run an advertising exchange in our Consumer app, and how we optimize the new user product experience. You will partner with Heads of Engineering and Product Management to set the strategy that moves the business metrics which help us grow our business.

• Lead making our Search, Relevance, and Ranking Machine Learning best-in-class
• Leverage your Deep-Learning expertise for Personalized Recommendations
• Build budget allocation models across different marketing channels
• Improve our landing pages, SEO, Referrals, and other channels through natural language processing and intelligent automation
• Develop the machine-learning rules of our internal advertising exchange for sponsored merchants and promotions
• Create budgeting, bidding, pacing models on behalf of our advertisers
• Create a food catalog for categorizing and enriching all our entities for better retrieval and personalization
• You can find out more on our ML blog here

• You have 10+ years of experience in at least one of the domains of Personalization and Advertising
• You're high-energy and confident — you keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down
• You’re an owner — driven, focused, and quick to take ownership of your work
• You're Humble — you’re willing to jump in and you’re open to feedback
• 6+ years of industry experience hiring and managing teams of data scientists / machine learning experts
• M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
• Good understanding of many quantitative disciplines such as statistics, machine learning, operations research, causal inference, and deep understanding in at least one
• Demonstrated familiarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn, Spark MLLib

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.

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.