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Scientist II, Delivery

United States, New York 161000.00 - 179000.00 USD / Year · Job Posted March 21, 2026
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Job Description

Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Delivery team, which owns all aspects of our delivery experience - from eaters, couriers to merchants! We are looking for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to utilize your strong quantitative skills to improve the Uber delivery experience as well as the overall marketplace performance.

Job Responsibility

  • Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and Causal Inference
  • Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability
  • Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives
  • Design and analyze experiments, present results that provide actionable recommendations
  • Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms
  • Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners
  • Owning the product development cycle end-to-end from data and science aspects

Requirements

  • Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields
  • If M.S. degree, a minimum of 1+ years of industry experience required
  • If Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent
  • Strong Python or R foundations and expertise
  • Knowledge of underlying mathematical foundations of statistics, optimization, economics, and analytics
  • Experience in experimental design and analysis

Nice to have

  • Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment
  • Expertise in synthesizing complex technical analyses into clear insights to influence product direction
  • Excellent communication skills across technical, non-technical, and executive audiences

What we offer

  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits

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