Job Description

The Earner org at Uber seeks a Scientist to enhance the earning experience through data-driven solutions. The role involves leveraging expertise in economics, operations, machine learning, and statistical modeling to improve platform efficiency and guide product development.

Requirements

2+ years of industry experience in data science, analytics, or a related quantitative role.
Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research).
Proficiency in SQL and a programming language like Python or R for complex data manipulation and analysis.
Demonstrated experience designing and analyzing large-scale A/B experiments.
Proven ability to lead projects, work autonomously, and navigate ambiguity.

Responsibilities

Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization.
Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
Propose and guide the framework of data analysis to drive business insight and facilitate decisions.
Leverage data to understand product performance and to identify improvement opportunities.
Design product experiments and interpret the results to draw detailed and impactful conclusions.
Communicate with senior management and multi-functional teams.
Provide recommendations to assist quick product ideation and feature launch decisions.
Build intelligent data-driven products to provide the best user experience.

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.