Job Description

Uber is hiring senior scientists for various teams focused on delivery logistics, membership, maps, and experimentation. The role involves solving complex business problems using data-driven approaches and developing statistical methodologies to enhance business insights and product development.

Requirements

Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
4+ years of industry experience as an Applied or Data Scientist or equivalent (or 2+ years with Ph.D.).
Background in at least one programming language (e.g., Python, R, Java, Ruby, Scala/Spark or Perl).
Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models.
Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.
Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators.

Responsibilities

Solve ambiguous, challenging business problems using data-driven approaches including ML, Optimization, Causal Inference.
Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.
Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
Design and analyze experiments, present results that provide actionable recommendations.
Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
Define how our teams measure success, by developing metrics, in close partnership with cross functional partners.
Owning the product development cycle end to end from data and science aspects.

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.