Senior Data Scientist, Brand Analytics

Role Overview

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.

What You Will Do

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.

Why It Might Be a Fit

You’ll influence brand strategy, define brand measurement for DoorDash, and play a crucial role in sharing the DoorDash brand externally with our customers.

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)

Benefits

• 401(k) plan with employer matching
• 16 weeks of paid parental leave
• Wellness benefits
• Commuter benefits match
• Paid time off and paid sick leave
• Medical, dental, and vision benefits
• 11 paid holidays
• Disability and basic life insurance
• Family-forming assistance
• Mental health program

Tagged as: Python, SQL