Senior Data Scientist - Experimentation Platform

DoorDash USA•New York, NY

4h•$184,300 - $271,000•Onsite

About The Position

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. 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.

Requirements

6+ years of experience in data science and experimentation.
Experience thinking about experimentation at a programme level, not only running experiments within a single team.
Solid technical grounding in experimentation methodology - you understand why practices like correcting for multiple comparisons or power calculations matter.
Comfortable working as an individual contributor while bringing stakeholder management and prioritization skills, whether or not you've managed people before.

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.