Senior Data Scientist, Machine Learning - Personalization & Recommendation

Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on talented data scientists to help us develop and improve the models that power DoorDash's three-sided marketplace of consumers, merchants, and dashers.

DoorDash users use the DoorDash app to discover new dishes, restaurants, and products for delivery. As a Machine Learning Scientist you will have the opportunity to identify and prioritize machine learning investments to personalize Merchant menu to consumers, produce ranking, using ML to create noval bundle items for Mx in order to drive Mx sales. You will leverage our robust data and infrastructure to develop models that impact millions of users across our three audiences. You will partner cross functionally  to set the strategy that moves the business metrics which and lead efforts to help us grow our business.

• Lead the effort for personalization and recommendation: Applying active learning, semi-supervised learning, product and merchant embedding, entity extraction and canonicalization to improve understanding of the consumer’s intent 
• Build models to understand user’s preferences for menu items, co-purchase and complementary recommendations, merchant segments, product categories, dish categories, dietary preferences, etc., furthermore the personalization based on these learned preferences, and addressing the potentially significant cold start problem
• Lead and implement end to end ML products, and ship both real time and batch production models via experimentation. 
• Collaborate with the team on a wide spectrum of ML techniques. 
• You can find out more on our ML blog post here

• Desire for impact — ready to take on a lot of responsibility and work collaboratively with your team
• Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
• 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!
• Humble — you’re willing to jump in and you’re open to feedback
• You’re an owner — driven, focused, and quick to take ownership of your work
• 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

• 4+ years of industry experience developing recommendation models with business impact — more experience preferred
• 1+ years of industry experience serving in a tech lead role
• M.S., or PhD. in Statistics, Computer Science, Electric Engineering, Math, Operations Research, Physics, Economics, or other quantitative field
• Prior experience with query understanding a plus
• Good working knowledge of embedding based methods, deep learning models, and graph based models preferred
• Demonstrated familiarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn, Spark MLLib
• Experience productionizing and A/B testing different machine learning models

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.

Pursuant to the Colorado Fair Pay Act, the base salary range in Colorado for this position is $141,525.00 -$191,475.00 , plus opportunities for equity and commission. Compensation in other geographies may vary.

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