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Salary
$190k – $211k per year
Location
In office (San Francisco)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 2, 2026. Uber scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Uber is an American mobility and delivery company founded in San Francisco in 2009 that connects independent drivers and couriers with riders and customers through its apps. It operates ride hailing in thousands of cities, a food and grocery delivery business built on the same courier network, a freight brokerage matching shippers with carriers, and an advertising business that sells placement inside those apps. Listed on the New York Stock Exchange since 2019, the company reached sustained profitability in the mid 2020s and now partners with autonomous vehicle developers rather than building self-driving technology itself.

About the Role

The Fares platform team powers the fares for all of Uber - that’s all riders, earners and eaters across the Uber and Uber Eats app. With $190B+ in gross bookings processed by the fares platform annually, we solve high impact problems which are critical to Uber’s success.

As a Scientist on this team, you will leverage experiment design, exploratory data analysis, causal inference and model development to solve a wide variety of problems in domains like policy design, user experience, optimization and defect reduction.

What the Candidate Will Do

  • Refine ambiguous questions and generate data backed hypotheses through a deep understanding of the data, systems, customers and business.
  • Use experiments and causal inference methods to validate the hypothesis and drive business goals critical to Uber’s success.
  • Act as a thought partner with cross-functional teams across various disciplines, including product, engineering, and operations, to drive product strategy.
  • Influence the product roadmap for fares and several cross-organizational teams (like maps, matching, growth, UX, Ops).
  • Build ML models to solve complex problems and create AI agents to automate data science workflows.
  • Communicate findings clearly to technical and non-technical leadership to influence decisions and product direction.

Basic Qualifications

  • Ph.D., M.S., or Bachelors degree in Computer Science, Statistics, Economics, Machine Learning, or other quantitative fields.
  • 3+ years of industry experience as an Applied or Data Scientist or equivalent.
  • Experience with experiment design, exploratory data analysis, causal inference and model development.
  • Proficient in both a data ETL language (e.g. SQL) and a scripting language (e.g. Python, R).

Preferred Qualifications

  • 5+ years of industry experience as an Applied or Data Scientist or equivalent.
  • Experience using statistical methodologies in platform, marketplace or consumer domains.
  • Demonstrated ability to leverage data and systems thinking for storytelling and root cause analysis.
  • Excellent communication skills: able to lead initiatives across multiple areas and communicate findings with leadership.

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 Seattle, WA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.

For Sunnyvale, 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.

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