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Data reviewed by JobGiant Research Desk
Listing via The Muse
and Team As a Staff Scientist at Uber, you will solve the complex, global-scale puzzle of how millions of people and things move in the real world. Operating as a technical multiplier at the high-stakes intersection of digital systems and physical movement, you will navigate extreme ambiguity, set scientific strategy, and make critical decisions with imperfect information.
Whether you are architecting next-generation marketplace mechanisms or defining experimentation guardrails, you will thrive in an environment where high performance and massive scale are inextricably linked. You will join the Rider Pricing and Incentive team, which owns the real-time algorithms powering our mobility business. In this role, you will define the scientific strategy for measuring marketplace performance and optimizing complex pricing systems.
Beyond building models, you will develop data insights to identify high-impact opportunities and influence executive roadmaps. You will also drive execution by providing technical guidance to junior scientists and partnering cross-functionally with Product and Engineering teams to deliver high-impact, productionized results
Set Scientific Vision: Define the 1-2 year scientific strategy and technical roadmap for real-time rider pricing, identifying high-impact opportunities. Lead the Architecture and Design: Define the scientific frameworks and next-generation pricing algorithms that ensure our models are modular, extensible, and observable at global scale. Act as a Technical Multiplier: Elevate team-wide technical execution by identifying opportunities for system efficiency, model performance, and reduction of technical debt across software and science pipelines.
Take-home estimate
Pay not listed
* Estimate before other deductions (health insurance, 401k, local taxes). Not tax advice.
Tax year 2026 numbers. Sources:
Salary
Not listed
Job Type
full_time
Location
New York, NY
Industry
Science and Engineering