Staff Scientist, Tech - Science

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About the role and team

Being a Staff Scientist at Uber means solving the complex, global-scale puzzle of how millions of people and things move in the real world. You aren't just an individual contributor; you are a technical multiplier operating at the high-stakes intersection of digital systems and physical movement. Whether you are architecting next-generation marketplace mechanisms or defining the experimentation guardrails for a whole product area, you will be working where performance and scale can’t be separated.

This is a high-impact leadership role that requires navigating extreme ambiguity and making smart decisions with imperfect information. You won't just build models; you will set the scientific strategy for entire organizations, mentoring the next generation of scientists and influencing executive-level roadmaps. If you are a pragmatist who thrives on solving "unsolvable" problems and taking full ownership of outcomes in a fast-paced, high-accountability environment-this is where you’ll make your mark.

What you’ll do

• Translate strategically important, unstructured problems

  into rigorous experiments and productionized solutions that move the needle for Uber’s global business.

• Lead the architecture and design

  of next-generation algorithms, role-modeling coding best practices and promoting the adoption of key frameworks across the organization.

• 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 software, 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 B.S. degree in Statistics, Computer Science, Applied Mathematics, Operations Research, Economics, or other quantitative fields.

• If M.S. degree, a minimum of 6+ years of industry experience required; if B.S. degree, a minimum of 8+ years of industry experience required.

• Deep expertise in statistical inference and experimental design (e.g., A/B, switchbacks, cluster-randomized trials).

• Proficiency in SQL and Python to work efficiently with large-scale datasets and distributed tools (e.g., Spark, Hive, Presto).

Preferred Qualifications

• Technical Vision:

  A track record of foreseeing architectural or scientific problems 12+ months out and addressing them before they impact the business.

• Impact & Scale:

  Experience leading multi-quarter, cross-functional initiatives that moved significant marketplace or financial metrics in production.

• Technical Brand:

  Recognized as a technical leader who can inspire and rally engineers/scientists around a vision while making tough trade-offs with a bias for action.

• Domain Mastery:

  Specialized expertise in Causal Inference at scale, Marketplace Optimization, or ML System Design for high-throughput environments.

For Seattle, WA-based roles: The base salary range for this role is USD $216,000 per year - USD $240,000 per year.

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.