About the Team

As DoorDash continues to expand rapidly, our Dasher Earnings team supports that growth through optimizing Dasher earning calculation and experience for fairness, transparency, and efficiency. Our mission is to maximize earnings opportunities for high quality Dashers in a way that’s financially sustainable for DoorDash. We are looking for an Analytics Manager to lead the team.

About the Role

As a Manager of Data Science & Analytics, you’ll be leading a team of data scientists who are working on improving the Dasher earning experience. 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 strategy to inform strategic 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, 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 6+ years of experience in Data Science and Product Analytics, primarily in related industries 1+ 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