Manager, Data Science, Analytics - Chicago, United States - DoorDash

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    Description

    About the Role

    As the New Verticals shopping experience lead, you'll be leading a team of data scientists that support consumer product surfaces like search, in-store navigation, and the checkout flow - alongside themes that cut across all surfaces like personalization, and net-new product launches. Your team will be partnering closely with product teams; collectively, you will ensure that we offer consumers a delightful, personalized shopping experience that is better than what they would encounter in store. To do so, you'll work with your team to drive strategic insights and inform product direction, offer technical leadership and build processes to support velocity, and partner with data and product engineers to build robust data foundations.

    You're excited about this opportunity because you will...

  • Lead and develop a team of Data Scientists in investigating complex issues and uncovering key drivers of our business
  • Influence the Product roadmap by making actionable recommendations based on data
  • Interface frequently with senior leadership to showcase your team's work and tackle complex business problems
  • Develop data-driven frameworks to facilitate prioritization of high-impact product and operational initiatives
  • Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis
  • We're excited about you because you have...

  • 1+ years of experience managing a team of data scientists, and a track record of delivering impactful analyses
  • 6+ years of experience in Data Science and Product Analytics, primarily in related industries
  • Deep understanding of, and hands-on experience with A/B 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