🔥 DoorDash · San Francisco, CA; Seattle, WA; New York, NY; Los Angeles, CA; Chicago, IL; Austin, TX; Washington D.C.
Skills: Python, SQL
About the Team The Paid Marketing Analytics team is looking for an experienced Senior Data Scientist to lead brand analytics at DoorDash. This Data Scientist will partner closely with senior Marketing leaders to define our brand measurement approach and guide our brand investment strategy and decision-making. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash. About the Role As a Senior Data Scientist leading brand analytics, you’ll use your quantitative background in brand analytics to define how we measure the impact of brand investment and how brand health affects our business. You’ll report to the leader of Marketing Analytics, and partner closely with our Brand Marketing team. If you enjoy finding patterns amidst chaos, and have experience using brand analytics to affect revenue, growth, and investment, we're looking for someone like you! You’re excited about this opportunity because you will… Influence brand strategy, define brand measurement for DoorDash, and play a crucial role in sharing the DoorDash brand externally with our customers. Partner closely with Marketing leadership to define metrics, KPIs, and a measurement strategy for the DoorDash brand Work at the intersection of modeling, brand strategy, and business decision making Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Use brand lift survey data, internal metrics, and incrementality testing to create a holistic view of brand impact Build full-cycle analytics experiments, reports, and dashboards using cutting-edge AI tooling, SQL, R, Python, or other scripting and statistical tools Be a champion of Brand Analytics within the team and advocate and educate on broader incorporation of leading concepts into Marketing and Consumer plans Produce recommendations and use statistical…
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