Job Description

The Rider Experience Science team at Uber is seeking a data scientist to analyze and optimize the rider experience for millions of users. The role involves collaborating with various teams to tackle complex problems, utilizing experimentation, product analytics, and machine learning modeling to drive growth in the mobility business.

Requirements

Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
5+ years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).
Experience in experimental design and analysis.
Experience with exploratory data analysis, statistical analysis and testing, and model development.
Proficiency in Python/R and SQL.

Responsibilities

Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of data, our customers, and our business.
Design experiments and interpret the results to draw detailed and impactful conclusions that inform our decisions.
Define how our teams measure success by developing metrics in close partnership with cross functional partners.
Develop data-driven insights and work with cross-functional partners to identify opportunities to improve the long-term strategy and product roadmaps.
Collaborate with other Scientists and Engineers to build and improve data foundations.
Present findings to business and executive audiences.

Benefits

Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.