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# Lead Data Scientist

- **Company:** DOORDASH, INC.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $219,600.0 - $323,000.0
- **Contract:** Permanent contract
- **Skills:** Usage Analysis, Information Technology, Data Pipelines
- **Published:** July 19, 2026
- **Apply:** https://magnet.me/en/opportunity/962795/lead-data-scientist

## About the Role

We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!, * A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain

 * 8+ years of experience in Data Science and Product Analytics, primarily in related industries
 * Strength in leading through your technical chops, and ability to leverage it appropriate in the business context
 * Deep understanding of, and hands-on experience with experimentation
 * Experience with data pipelines
 * Excellent communication and cross-functional working skills, including the ability to present complex findings to non-technical audiences and influence strategic decisions

## Description

Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. This is a rare operational and actionable data-driven experience., * Lead and develop a team of Data Scientists in investigating complex issues and uncovering key drivers of our business, along with your own contributions as an Individual Contributor

 * Influence the Product and Operations roadmap by making actionable recommendations based on data
 * Interface frequently with senior leadership to showcase your team's work and tackle complex business problems
 * Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis
 * Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses


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