Staff Scientist, Eats Growth (Economist)

Staff Scientist, Eats Growth (Economist) Department: Data Science Team: Data Scientist Location: New York, United States Type: Full-Time **About the Role** Uber Eats is on a mission to redefine how people discover and enjoy food — and the Growth team is at the heart of that journey. We incubate and scale new tactics for acquiring, engaging, and retaining users across the Uber Eats and Uber Rides apps. As a Staff Scientist on the team, you’ll play a pivotal role in shaping the user acquisition roadmap. You’ll analyze data across the Uber ecosystem to identify new growth opportunities, optimize conversion funnels, and run experiments to validate new acquisition tactics — from integrations with the Uber Rides app to third-party ecosystems like Instacart. This is a highly visible, cross-functional role where you'll combine technical expertise with product intuition to shape Uber’s platform strategy. **What You'll Do** - Design, execute, and analyze large-scale experiments within the Uber Eats and Uber Rides apps. - Perform analytical deep dives to explore topics including conversion funnels, shopping journeys, personalization & ranking, and user retention. - Design frameworks for optimizing tradeoffs across competing business objectives to maximize platform growth. - Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behavior and guide future product strategy. - Present findings and recommendations to senior technical and business leaders. **Basic Qualifications** - Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields. - Minimum 5 years of industry experience as a Data Scientist or equivalent role (2+ if holding a Ph.D.) - Expertise in experimental design and statistical analysis for A/B testing and causal inference. - Proficiency in SQL & Python for exploratory data analysis and modeling. - Strong analytical skills, with experience extracting user behavior insights from large datasets. - Experience with data visualization and dashboarding tools (e.g., Tableau, Matplotlib). **Preferred Qualif