Director, Analytics, DashOS

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. 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. You will report into a Senior Director on our Merchant Analytics team in our Analytics organization.

Responsibilities

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

Requirements

10+ years of experience in Data Science, Analytics, or a related quantitative field, including significant experience leading senior teams and developing managers; Strong product and business analytics judgment, with a track record of defining metrics, building decision frameworks, and influencing strategy in ambiguous environments; Deep expertise in experimentation and causal inference, and comfort making decisions with imperfect data, evolving products, and small or noisy samples; Hands-on technical fluency in SQL and statistical analysis, with the depth to raise the technical bar for the team; Experience working cross-functionally with Product, Engineering, and business leaders, and translating complex analysis into clear recommendations that drive action

Benefits

401(k) plan with employer matching; 16 weeks of paid parental leave; wellness benefits; commuter benefits match; paid time off and paid sick leave; medical, dental, and vision benefits; 11 paid holidays; disability and basic life insurance; family-forming assistance; mental health program; opportunities for equity grants