About the job
About the Team
The Experimentation Platform Team is at the forefront of innovation, crafting an advanced platform that empowers Product Engineers, Data Scientists, ML Engineers, and even those without technical backgrounds to formulate hypotheses, design, configure, and analyze experiments, as well as perform exploratory and causal analyses. At DoorDash, we conduct thousands of experiments annually, aiming to provide all decision-makers with rigorous, data-driven insights through democratized experimentation characterized by quality and speed. Our diverse team includes seasoned professionals from backend, web, statistical, and data infrastructure backgrounds, who collaborate closely with the data science community.
Our team's impactful contributions have been featured in notable publications, including: (1) Meet Dash-AB-The Statistics Engine of Experimentation at DoorDash, (2) Supporting Rapid Product Iteration with an Experimentation Analysis Platform. We drive transformative solutions that our product teams utilize, such as (3) The 4 Principles DoorDash Used to Increase Its Logistics Experiment Capacity by 1000%, (4) Improving Online Experiment Capacity by 4X with Parallelization and Increased Sensitivity, among others.
About the Role
If you are passionate about tackling complex engineering challenges and developing cutting-edge experimentation products within stringent operational constraints (high volume, accuracy guarantees), then the Experimentation Platform at DoorDash is the ideal environment for you. Join us and contribute to our mission.
You will report to the engineering manager within our Decision Engine team as part of the Decision Systems group. This role is hybrid, allowing for a mix of in-office and remote work in locations such as San Francisco, Sunnyvale, Seattle, or New York.

