DoorDash USA
Manager, Data Science, Analytics - Delivery Excellence
DoorDash USA, San Francisco, California, United States, 94199
About the TeamDoorDash provides products and services to help restaurants grow. The Digital Ordering team builds products to help restaurants maximize the value of their first-party customers outside of the DoorDash app, via digital channels like websites, native apps, and CRM.
About the RoleAs the manager and lead for the Digital Ordering analytics team, you’ll be leading a team of data scientists who are working on building effective digital channels and surfaces to engage restaurant customers and facilitate an easy and delightful ordering experience. You will work closely with product and engineering teams to build new products, and collaborate with strategy and operations teams to bring these to market and validate ROI for restaurants. You will oversee our metrics and analytics strategy to understand how to bring together a set of independent digital products into a cohesive digital suite that will help restaurants grow and accelerate their sales.
You're excited about this opportunity because you will…
Lead and develop a team of Data Scientists in building software products 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…
2+ years of experience managing a team of data scientists in a formal or informal capacity, and a track record of delivering impactful analyses.
6+ years of experience in Data Science and Product Analytics, primarily in related industries.
Strength in leading through your technical skills, and ability to leverage it appropriately in the business context.
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.
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About the RoleAs the manager and lead for the Digital Ordering analytics team, you’ll be leading a team of data scientists who are working on building effective digital channels and surfaces to engage restaurant customers and facilitate an easy and delightful ordering experience. You will work closely with product and engineering teams to build new products, and collaborate with strategy and operations teams to bring these to market and validate ROI for restaurants. You will oversee our metrics and analytics strategy to understand how to bring together a set of independent digital products into a cohesive digital suite that will help restaurants grow and accelerate their sales.
You're excited about this opportunity because you will…
Lead and develop a team of Data Scientists in building software products 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…
2+ years of experience managing a team of data scientists in a formal or informal capacity, and a track record of delivering impactful analyses.
6+ years of experience in Data Science and Product Analytics, primarily in related industries.
Strength in leading through your technical skills, and ability to leverage it appropriately in the business context.
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.
#J-18808-Ljbffr