About the Team

DoorDash is building a multi-category business. In addition to Restaurant, Grocery, and Conveience stores, DoorDash partners with merchants to offer selection across an expanding set of categories, including Beauty, Pet, Sporting Goods, Home Improvement, Electronics, Shoes, and more. We are looking for an Analytics leader to drive our strategy and execution as we accelerate the Retail business.

About the Role

As the Senior Manager, Data Science, Analytics, you’ll be leading a team of data scientists who are working on Retail within the New Verticals team. You will develop strategic insights and work closely with the product, engineering, strategy and operations teams to actively build and measure the impact of new features. You will oversee our metrics and analytics roadmap to inform strategic direction for the Retail business, and identify product opportunities. You will also provide technical leadership, build processes, tools, and frameworks to increase velocity and rigor, 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, 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 We're excited about you because you have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain Experience managing a team of data scientists, and a track record of delivering impactful analyses 8+ years of experience in Data Science and Product Analytics, primarily in related industries 3+ years of experience as a people manager 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

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