Senior Data Scientist - Experimentation Platform

About the team

The Decision Systems Experimentation Platform team builds the platform and standards which let DoorDash, Deliveroo, and Wolt experiment successfully across every side of the marketplace, from consumers and merchants to dashers. Getting this right means faster, more reliable decisions for every team who rely on experimentation. We're still early in building a global experimentation platform across all of our brands, and this team will shape the next evolution of experimenting at DoorDash.

About the role

This is a foundational role: in your first few months, you'll get close to how data scientists across DoorDash, Deliveroo, and Wolt currently experiment, and start closing the gaps between what they need and what exists today. You'll help to build the methodology, tooling, and standards other teams will rely on alongside the Experimentation Platform team currently based out of London, UK. Success looks like teams adopting what we build for their experiments. It's an exciting time to join because so much of this is still being defined whilst three brands combine, and you'll have real influence over what it becomes.

You will report into the Data Science Manager on our Decision Systems team in our DoorDash organisation. You will be based out of our New York office and expected to occasionally travel within the US and internationally.

Responsibilities

• Design the statistical methods which encourage experimentation best practice and help teams see results faster, for use across DoorDash, Deliveroo, and Wolt.
• Work with leadership to define the vision for experimentation.
• 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.
• Help decide where AI belongs in the experimentation process, and where it doesn't.

Requirements

• You have 6+ years of experience in data science and experimentation.
• You have experience thinking about experimentation at a programme level, not only running experiments within a single team.
• You have 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 stakeholder management and prioritization skills, whether or not you've managed people before.

Pay

The national base pay range for this position within the United States, including Illinois and Colorado, is $184,300—$271,000 USD. In addition to base salary, the compensation for this role includes opportunities for equity grants.

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 in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act)
• 11 paid holidays
• Medical, dental, and vision benefits
• Disability and basic life insurance
• Family-forming assistance
• Mental health program

For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.

For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).