Senior Scientist, Fares

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.