Job Description
Uber is seeking candidates for the Delivery Logistics team, focusing on product development in food delivery, grocery, and ads services. The role involves applying scientific methodologies, including algorithm design and machine learning, to enhance user experiences and address complex challenges.
Requirements
- Completing or recently completed a Ph.D. in Statistics, Economics, Computer Science, Machine Learning, Operations Research, or another quantitative field
- Knowledge of underlying mathematical foundations of optimization, stochastic processes, statistics, and machine learning
- Strong problem solving and analytical abilities
- Familiarity with SQL
- Familiarity with a programming language such as R and Python
Responsibilities
- Solve ambiguous, challenging business problems using data-driven approaches
- Work closely with multi-functional leads to develop a technical vision and drive team direction
- Develop new methodologies for data science including modeling, coding, analytics, optimization, and experimentation
- Present findings to business leaders to inform decisions
- Design product experiments and interpret the results to draw detailed and impactful conclusions
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.
