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Lead Data Scientist

DoorDash

$219,600 - $323,000
Dec 3, 2025
San Francisco, CA, US • Seattle, WA, US • New York, NY, US
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DoorDash is looking for Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches as they expand their platform globally. Data Scientists will uncover insights and translate them into actionable recommendations to drive decisions across the organization, solving crucial business problems and driving real-world operational change.

Requirements

  • Deep understanding of, and hands-on experience with experimentation
  • Experience with data pipelines

Responsibilities

  • 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
  • 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
  • Uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation.
  • Dive 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.
  • Finding patterns amidst chaos, excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond

Other

  • 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
  • Excellent communication and cross-functional working skills, including the ability to present complex findings to non-technical audiences and influence strategic decisions
  • Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities.