Job DescriptionAbout the role As a Senior 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 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 support 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.
Basic Qualifications - Ph.D., M.S. or Bachelor's degree in Statistics, Machine Learning, Operations Research, Economics, Mathematics, Computer Science, or other quantitative fields.
- 5+ years of industry experience as an Applied or Data Scientist or equivalent (or 3+ years with a Ph.D.).
- Proficiency in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl).
- Experience designing experiments and interpreting results across a variety of key performance indicators.
Preferred Qualifications - Ph.D. degree in a quantitative field such as Machine Learning, Operations Research, or Statistics.
- Outstanding communication skills with a track record of influencing leadership and technical teams through storytelling and data-driven insights.
- Experience leading high-complexity technical projects and substantially influencing the scope and output of others.
- Proven ability to work efficiently with large-scale datasets (e.g., 100M+ rows) using Spark, Hive, or HDFS.
- Thought leadership to drive multi-functional projects from initial concept to production.
ResponsibilitiesFor New York City, NY-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
