2023 PhD University Graduate - Applied Scientist (AEA/ASSA Economists Only)
About the Role
Uber is looking for economists with a passion for tackling hard problems with real-world impact. We are economists, statisticians, operations researchers, and computer scientists who combine theoretical insight with rigorous data analysis to expand the value created across Uber’s real-time marketplaces. Economists at Uber work on teams across the company in a variety of roles; we will match hires to roles best suiting their interests and expertise.
Economists at Uber solve key business problems. Responsibilities are varied but include designing pricing, incentives, and subscription structures; modeling and estimating long-term consumer behavior; developing novel approaches for marketplace experimentation; and creating ML-driven optimization of marketplace levers. Markets are at the heart of our business model, and economists are central to our strategic decisions and algorithmic solutions.
We hire economists to be economists, not generic data scientists. Uber is the ideal first job for a new PhD economist looking to work in industry–you’ll learn how to be effective in a dynamic and successful company that's already convinced of the value and potential of economic thinking, alongside experienced economists in technical and organizational leadership positions.
We're also interested in professors looking to move into industry/tech jobs.
What You’ll Do
- 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
Basic Qualifications
- Ph.D. in Economics or related field with an anticipated graduation date in winter 2022 - fall 2023
- Proficiency with analytical tools like R, Python, Matlab, Stata, or EViews
- Strong problem solving and analytical abilities
- Experience with causal inference, exploratory data analysis, statistical analysis and model development
Preferred Qualifications
- Ability to think creatively and insightfully about business-relevant economic problems
- Familiarity with relational databases and SQL
- Foundational programming skills in R/Python/C/C++/Java and the desire to learn
- Experience in experimental design and analysis (e.g., A/B and market-level experiments), as well as in causal inference with observational data
- Experience in algorithm development and prototyping