Director, Analytics, DashOS

The posting, as DoorDash wrote it

About the Team

DashOS is DoorDash’s platform for helping restaurants grow. It connects Marketplace, direct ordering, reservations, loyalty, and marketing (including SevenRooms) so restaurants can recognize the same guest across every channel, personalize how they bring them back, and use AI to automate manual work, all alongside the systems they already use.

Our portfolio spans 0→1 bets, early-stage products, and rapidly scaling offerings, so our work sits at the intersection of product innovation, commercialization, and long-term platform strategy. The analytics and data science team helps define the right metrics, guide product and go-to-market investments, and turn new product ideas into durable outcomes for restaurants and for DoorDash.

About the Role

We’re looking for a Director of Data Science to lead a broad and high-impact portfolio supporting DashOS. In this role, you will shape how we measure success, guide product and commercial strategy, and build the data foundations that help teams move quickly and make better decisions across products at different stages of maturity. Success in this role means building a high-performing team, raising the quality and speed of decision-making, and helping DoorDash identify and scale the highest-ROI opportunities across the portfolio. You will report into a Senior Director on our Merchant Analytics team in our Analytics organization.

You’re excited about this opportunity because you will…

• Lead and grow a team of data science and analytics leaders and practitioners across a portfolio that spans 0→1 products, products still being shaped and commercialized, and businesses already scaling quickly.
• Own the analytical direction for the portfolio, including experimentation, KPI design, forecasting, decision support, funnel analytics, and foundational measurement.
• Partner closely with Product, Engineering, Strategy & Operations, and Go-to-Market leaders to influence roadmap, commercialization, and investment decisions.
• Build the operating system for decision-making by improving instrumentation, creating single sources of truth, and connecting short-term execution with long-term business outcomes.
• Operate with broad scope and high autonomy in a startup-like environment while benefiting from the support and talent density of a scaled analytics organization.

We’re excited about you because…

• You have 10+ years of experience in Data Science, Analytics, or a related quantitative field, including significant experience leading senior teams and developing managers.
• You have strong product and business analytics judgment, with a track record of defining metrics, building decision frameworks, and influencing strategy in ambiguous environments.
• You have deep expertise in experimentation and causal inference, and you are comfortable making decisions in settings with imperfect data, evolving products, and small or noisy samples.
• You bring hands-on technical fluency in SQL and statisti

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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.

Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy https://help.doordash.com/en-us/legal/article/ax-privacy-notice and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Metaview is publicly available for review at https://trust.warden-ai.com/metaview/application-review .