Senior Data Scientist, Brand Analytics

Responsibilities

• 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

Requirements

• 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

Benefits

• DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act).
• DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.
• To learn more about our benefits, visit our careers page here .
• See below for paid time off details: - For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. - For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).