Job Description

As a Data Scientist on the Retail BizOps team, you'll support DoorDash's retail expansion by analyzing customer journeys across key categories like Household, Electronics, and Apparel. You'll decode retail trends, develop data-backed strategies to accelerate adoption, and present insights directly to leadership that influence both tactical decisions and long-term strategy.

Responsibilities

• Decompose topline metric movements into internal vs. external changes and surface key drivers to stakeholders
• Provide a forward-looking outlook of what to expect in the coming weeks based on ramping experiments, occasions, prior year trends, etc.
• Deepen understanding of key metrics via deep dives and ad-hoc analysis
• Deliver dashboards that decompose w/w, m/m, etc., movement in certain metrics, regular data storytelling of metric movements

Requirements

• Degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
• Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
• Expertise of SQL queries, ETL, A/B Testing, and statistical analysis
• Proficiency in one or more analytics & visualization tools
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way

Benefits

• No benefits