Senior Data Scientist, Brand Analytics

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.

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!

• 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 techniques and hypothesis testing or causal inference to validate your findings
• Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends
• Identify and measure levers to help move essential metrics and make recommendations
• Work backwards from understanding and sizing problems to ideating solutions

• A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
• 5+ years of experience in brand and marketing analytics owning brand measurement at the intersection of modeling, brand strategy, and business decision making
• Demonstrated experience leading the design, implementation, and ongoing operation of an end-to-end brand measurement system, including KPI selection and validation, ongoing brand tracking, campaign lift measurement, and integration with MMM and incrementality testing.
• Experience leading brand modeling, working directly with clients, and translating the findings into decisions that drive business growth. 
• Deep understanding of brand marketing and paid media, with a track record of translating measurement findings into decisions about audiences, investment, and channel mix, and evaluating the relationship between brand health and downstream business outcomes.
• Understanding of brand health metrics, consumer attitudes, audience strategy, creative effectiveness, and how media channels contribute across the funnel
• Experience with marketing and brand measurement, MMM, attribution, incrementality testing, and brand lift surveys
• Expertise of SQL queries, ETL, A/B Testing, Causal Inference, survey analytics, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
• Experience leveraging AI coding tools to improve productivity and harden repeatable processes without sacrificing accuracy or code quality (e.g., Claude Code, Cursor)  
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way

Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Metaview.

How it works: Metaview assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Metaview or other AI-enabled tool  in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.

Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy https://help.doordash.com/en-us/legal/article/ax-privacy-notice and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Metaview is publicly available for review at https://trust.warden-ai.com/metaview/application-review.