Senior Data Scientist

About the role

USA

This role establishes how experimentation operates across DoorDash, Deliveroo, and Wolt. You will define the statistical methods and standards that shape marketplace experimentation. Your work will close gaps between current capabilities and future needs. Teams across three brands will rely on the methodology and tooling you help create. Success is measured by adoption and trust in your guidance.

You report to the Data Science Manager on the Decision Systems team within the DoorDash organization. The position is based in New York, New York, with expected occasional travel within the United States and internationally.

About the Team

The Decision Systems Experimentation Platform team builds the standards and infrastructure that let DoorDash, Deliveroo, and Wolt experiment successfully across every side of the marketplace. The goal is faster, more reliable decisions for every team that depends on experimentation. This role helps define the next evolution of global experimentation as three brands combine. You will work alongside the existing Experimentation Platform team based in London, United Kingdom.

You're excited about this opportunity because you will...

• Design the statistical methods that encourage experimentation best practice and help teams see results faster across all marketplaces.
• Work with leadership to define the vision for experimentation program level initiatives.
• Set the standards that experimenters across three brands and many markets rely on to trust their results.
• Partner directly with engineering to help build the platform that supports measurement and learning.
• Help decide where AI belongs in the experimentation process, and where it does not.

We're excited about you because...

• You have six or more years of data science and experimentation experience.
• You think about experimentation at a program level, not only running experiments within a single team.
• You have a solid technical grounding in experimentation methodology. You understand why practices like correcting for multiple comparisons or power calculations matter.
• You are comfortable working as an individual contributor while bringing strong stakeholder management and prioritization skills.

Key facts

What you'll do

• Design experiments methodology that guides best practice across global marketplaces.
• Champion standards for program level experimentation used by many markets and teams.
• Define vision alongside leadership to align experimentation strategy with business goals.
• Partner with engineering to shape the platform that supports measurement and learning.
• Evaluate where AI integration improves experimentation without diluting rigorous analysis.
• Own quality checks ensuring results are reliable, interpretable, and trusted by stakeholders.
• Influence prioritization as an individual contributor while managing expectations and scope.
• Guide adoption so teams rely on new tools and standards for faster, clearer decisions.

Requirements

• You must bring six or more years of data science and experimentation experience.
• You understand why power calculations and multiple comparison corrections protect results.
• You work effectively as an individual contributor while practicing strong stakeholder management.
• You care about setting methodology that spans many markets and multiple product lines.

Nice to have

• Experience working across several brands under combined portfolio ownership.

Skills & tools

• SQL
• Python
• Experimentation Platform
• Decision Systems
• Data Science

Practical notes

Please Compensation

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

Benefits

DoorDash cares about you and your overall well-being. That is why we offer a comprehensive benefits package to all regular employees. This package includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (for example, Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

To learn more about our benefits, visit our careers page.