DoorDash
Senior Manager, Data Science, Analytics - Core Consumer
DoorDash, San Jose, California, United States, 95199
Senior Manager, Data Science, Analytics - Core Consumer
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Senior Manager, Data Science, Analytics - Core Consumer
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DoorDash About The Team
As DoorDash continues to expand rapidly, our Core Consumer team plays a pivotal role in shaping the consumer experience through enhancing personalization, search relevance, merchandising strategy, app quality, and the overall ordering experience. Our mission is to implement scalable data solutions and provide insights that directly influence our strategic product direction. We are looking for an Analytics Senior Manager to lead our Discovery, Search, and App Quality teams. About The Role
As a Senior Manager of Data Science/Analytics, you’ll be leading a team of data scientists working on improving the consumer experience. You will develop strategic insights and collaborate closely with product, engineering, strategy, and operations teams to build and measure the impact of new features. You will oversee our metrics and analytics strategy, provide technical leadership, and partner with data and product engineers to develop robust data foundations. Responsibilities
Lead and develop a team of Data Scientists to investigate complex issues and uncover key drivers of our business, while contributing as an Individual Contributor. Influence the Product and Operations roadmap by making data-driven, actionable recommendations. Engage with senior leadership to showcase your team’s work and address complex business challenges. Drive measurement strategies, define success metrics, and implement best practices around experiment design and statistical analysis. Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses. Qualifications
A degree in Math, Physics, Statistics, Economics, Computer Science, or a related field. Experience managing a team of data scientists with a track record of impactful analyses. 8+ years of experience in Data Science and Product Analytics, primarily in related industries. 3+ years of experience as a people manager. Strong technical skills with the ability to leverage them appropriately in a business context. Deep understanding and hands-on experience with experimentation. Experience with data pipelines. Excellent communication and cross-functional collaboration skills, including presenting complex findings to non-technical audiences and influencing strategic decisions.
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Join to apply for the
Senior Manager, Data Science, Analytics - Core Consumer
role at
DoorDash About The Team
As DoorDash continues to expand rapidly, our Core Consumer team plays a pivotal role in shaping the consumer experience through enhancing personalization, search relevance, merchandising strategy, app quality, and the overall ordering experience. Our mission is to implement scalable data solutions and provide insights that directly influence our strategic product direction. We are looking for an Analytics Senior Manager to lead our Discovery, Search, and App Quality teams. About The Role
As a Senior Manager of Data Science/Analytics, you’ll be leading a team of data scientists working on improving the consumer experience. You will develop strategic insights and collaborate closely with product, engineering, strategy, and operations teams to build and measure the impact of new features. You will oversee our metrics and analytics strategy, provide technical leadership, and partner with data and product engineers to develop robust data foundations. Responsibilities
Lead and develop a team of Data Scientists to investigate complex issues and uncover key drivers of our business, while contributing as an Individual Contributor. Influence the Product and Operations roadmap by making data-driven, actionable recommendations. Engage with senior leadership to showcase your team’s work and address complex business challenges. Drive measurement strategies, define success metrics, and implement best practices around experiment design and statistical analysis. Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses. Qualifications
A degree in Math, Physics, Statistics, Economics, Computer Science, or a related field. Experience managing a team of data scientists with a track record of impactful analyses. 8+ years of experience in Data Science and Product Analytics, primarily in related industries. 3+ years of experience as a people manager. Strong technical skills with the ability to leverage them appropriately in a business context. Deep understanding and hands-on experience with experimentation. Experience with data pipelines. Excellent communication and cross-functional collaboration skills, including presenting complex findings to non-technical audiences and influencing strategic decisions.
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