**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**

- Completing or recently completed a Ph.D. in Economics or related field
- Proficiency with analytical tools like R/Python/Matlab/Stata/EViews
- Strong problem solving and analytical abilities
- Experience with causal inference, exploratory data analysis, statistical analysis and model development
- Complete application submitted through ASSA JOE

**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

For Canada-based roles: The base salary range for this role is CAD$136,000 per year - CAD$151,000 per year.

For New York, NY-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.