Staff Scientist, Tech - Science

About the role

As a Staff Scientist working on Earner Program Logistics, you will solve high-stakes optimization and marketplace problems at the boundary of digital algorithms and physical-world delivery. Operating as a principal technical multiplier, you will shape the science strategy for core marketplace decisions-ensuring algorithms optimize for long-term platform value and are incentive-compatible.

In this role, you will lead the end-to-end scientific vision for complex logistics systems, partnering with teams across all of Uber to build a balanced, resilient, and highly efficient marketplace for eaters, merchants, and couriers globally

What you'll do

Translate strategically important, unstructured problems into rigorous experiments and productionized solutions that move the needle for the Uber Eats business. Drive the end-to-end product development lifecycle from a science and data perspective, solving business challenges using Causal Inference and Optimization. Set the science strategy and experimentation standards across multiple teams, ensuring scientific rigor and driving organization-wide adoption of best practices.

Act as a technical multiplier, identifying opportunities for better performance, efficiency, and reduction of technical debt in models and processes. Influence executive-level roadmaps by presenting complex technical findings and long-term strategic recommendations to senior leadership. Own the technical trajectory of critical product areas, ensuring solutions are designed to be extensible, modular, and observable while balancing short-term needs and long-term productivity.