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Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Delivery team, which owns all aspects of our delivery experience - from eaters, couriers to merchants! We are looking for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to utilize your strong quantitative skills to improve the Uber delivery experience as well as the overall marketplace performance.
Job Responsibility:
Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and 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
Requirements:
Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields
If M.S. degree, a minimum of 1+ years of industry experience required
If Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent
Strong Python or R foundations and expertise
Knowledge of underlying mathematical foundations of statistics, optimization, economics, and analytics
Experience in experimental design and analysis
Nice to have:
Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment
Expertise in synthesizing complex technical analyses into clear insights to influence product direction
Excellent communication skills across technical, non-technical, and executive audiences
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan