Uber-posted 4 months ago
$183,000 - $203,000/Yr
Full-time • Senior
Remote • San Francisco, CA
Transit and Ground Passenger Transportation

Grocery & Retail is one of Uber's biggest new bets. Since launching in 2020, we've achieved an annual run rate of $10 billion in gross bookings globally and integrated two strategic acquisitions, Cornershop and Drizly. Our team builds across the end-to-end grocery experience, including consumer growth, fulfillment flows, and catalog management. As a Senior 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 new content formats on the Uber Eats home feed to deals discovery to improving our recommendation models. This is a highly visible, cross-functional role where you'll combine technical expertise with product intuition to shape Uber's platform strategy.

  • 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.
  • Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Operations Research, or other quantitative fields.
  • Minimum 3 years of industry experience as a Data Scientist or equivalent role.
  • Expertise in experimental design and statistical analysis for A/B testing and causal inference.
  • Proficiency in R or 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).
  • 5+ years of industry experience, particularly in growth, product, or consumer analytics.
  • Proficiency in causal inference, funnel optimization, user segmentation, or lifetime value forecasting.
  • Experience in algorithm prototyping and development.
  • Exceptional communication skills across technical, non-technical, and executive audiences.
  • Prior experience working on a consumer app or a growth team.
  • Eligible to participate in Uber's bonus program.
  • May be offered an equity award & other types of compensation.
  • Eligible for various benefits.
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