Job Description
<div class="content-intro"><p><img style="display: none; max-width: 100%;" src="https://click.appcast.io/greenhouse-te8/a31.png?ent=34e=22630t=1701374353806" width="1px"> <img style="display: none; max-width: 100%;" src="https://track.jobadx.com/v1/i.gif?utm_pixel=224e990b-8ff4-4287-8d5d-2ff09647f181utm_ptz=ESTutm_rqt=track" alt="" width="1"></p></div><h1><strong>About the Team</strong></h1><p>The Analytics team is looking for Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash.</p><h1><strong>About the Role</strong></h1><p>Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. This is a rare operational and actionable data-driven experience. </p><p>We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!</p><h1><strong>You're excited about this opportunity because you will…</strong></h1><ul><li>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</li><li>Influence the Product and Operations roadmap by making actionable recommendations based on data</li><li>Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems</li><li>Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis</li><li>Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses</li></ul><h1><strong>We're excited about you because you have…</strong></h1><ul><li>A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain</li><li>8+ years of experience in Data Science and Product Analytics, primarily in related industries</li><li>Strength in leading through your technical chops, and ability to leverage it appropriate in the business context</li><li>Deep understanding of, and hands-on experience with experimentation</li><li>Experience with data pipelines</li><li>Excellent communication and cross-functional working skills, including the ability to present complex findings to non-technical audiences and influence strategic decisions</li><li>Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities.</li></ul><p>Applications for this position are accepted on an ongoing basis</p><br><p>Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only</p><p>We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using <a href="https://getcovey.com/product/covey-scout-inbound">Covey Scout for Inbound</a> from August 21, 2023, through December 21, 2023, and resumed using <a href="https://getcovey.com/product/covey-scout-inbound">Covey Scout for Inbou ... (truncated, view full listing at source)