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Scientist II, Rider Pricing & Incentives

Uber

$155,000 - $172,000
Sep 30, 2025
Seattle, WA, US
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Uber is looking to analyze, improve and automate all aspects of its core rideshare and delivery products, specifically focusing on automated real-time pricing and incentives algorithms and platform to maintain reliability and improve the efficiency of Uber's Mobility marketplace.

Requirements

  • Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
  • Experience in experimental design and analysis.
  • Experience with exploratory data analysis, statistical analysis and testing, and model development.
  • Ability to use Python to work efficiently at scale with large data sets.
  • Proficiency in SQL.
  • Experience in algorithm development and prototyping.
  • Experience with productionizing algorithms for real-time systems.

Responsibilities

  • Use data to understand product performance and to identify improvement opportunities.
  • Build statistical, optimization, and machine learning models for a range of applications in the pricing and incentives algorithms space.
  • Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
  • Present findings to senior management to inform business decisions.
  • Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization
  • Work on analyzing data that help design the models that maintain reliability and improve the efficiency of Uber's Mobility marketplace.
  • Improve the Uber rider experience as well as the overall marketplace performance using strong quantitative skills in the fields of economics, machine learning, and/or operations research.

Other

  • Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
  • 2+ years of experience as an Applied or Data Scientist or equivalent (can be also as part of Ph.D training).
  • 2+ years of industry experience.
  • Well-honed communication and presentation skills.
  • Participation in Uber's bonus program, and may be offered an equity award & other types of comp.