Director, Analytics, DashOS

DoorDash•San Francisco, NY

About The Position

The Director of Data Science will lead a broad, high-impact analytics and data science portfolio supporting DashOS, DoorDash’s platform for helping restaurants grow. DashOS connects Marketplace, direct ordering, reservations, loyalty, and marketing, including SevenRooms, to help restaurants recognize guests across channels, personalize engagement, and automate manual work alongside existing systems. The portfolio includes products at early, commercialization, and rapid-growth stages. The role shapes how success is measured, guides product and commercial strategy, and builds data foundations that enable faster, better decisions. Success involves building a high-performing team, improving the quality and speed of decision-making, and helping DoorDash identify and scale the portfolio’s highest-ROI opportunities. The position reports to a Senior Director on the Merchant Analytics team in the Analytics organization.

Requirements

  • 10+ years of experience in Data Science, Analytics, or a related quantitative field.
  • Significant experience leading senior teams and developing managers.
  • Strong product and business analytics judgment, including a track record of defining metrics, building decision frameworks, and influencing strategy in ambiguous environments.
  • Deep expertise in experimentation and causal inference, with the ability to make decisions using imperfect data, evolving products, and small or noisy samples.
  • Hands-on technical fluency in SQL and statistical analysis, with the ability to raise the team’s technical bar while operating at a leadership level.
  • Experience working cross-functionally with Product, Engineering, and business leaders.
  • Ability to translate complex analysis into clear recommendations that drive action.

Responsibilities

  • Lead and grow a team of data science and analytics leaders and practitioners across products at different stages of maturity.
  • Own the portfolio’s analytical direction, including experimentation, KPI design, forecasting, decision support, funnel analytics, and foundational measurement.
  • Partner with Product, Engineering, Strategy & Operations, and Go-to-Market leaders to influence roadmap, commercialization, and investment decisions.
  • Improve instrumentation, create single sources of truth, and connect short-term execution with long-term business outcomes to build the operating system for decision-making.
  • Operate with broad scope and high autonomy in a startup-like environment, supported by a scaled analytics organization.

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
  • Flexible paid time off/vacation for salaried roles
  • 80 hours of paid sick time per year for salaried roles
  • Equity grant opportunities
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