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Salary: USD 190,000 - 211,000 / annual
The Fares platform team at Uber powers pricing across all riders, earners, and eaters on the Uber and Uber Eats apps, processing $190B+ in gross bookings annually. As a Senior Scientist on this team, you will apply experiment design, exploratory data analysis, causal inference, and machine learning to solve high-impact problems spanning policy design, user experience, optimization, and defect reduction.
You will refine ambiguous business questions into data-backed hypotheses through deep understanding of data, systems, customers, and business dynamics. You will design and execute experiments and apply causal inference methods to validate hypotheses and drive critical business goals. You will act as a thought partner with cross-functional teams including product, engineering, and operations to shape product strategy and influence the fares roadmap and related cross-organizational initiatives (maps, matching, growth, UX, ops). You will build machine learning models to solve complex problems and create AI agents to automate data science workflows. You will communicate findings clearly to both technical and non-technical leadership to influence product decisions and direction.
The role requires at least 50% in-office presence unless approved for full remote work. Offices are considered key to collaboration and Uber's culture.
REQUIREMENTS:
- Ph.D., M.S., or Bachelor's 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
- Proficiency in both a data ETL language (e.g., SQL) and a scripting language (e.g., Python, R)
PREFERRED:
- 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 and ability to lead initiatives across multiple areas
