Scientist II, Fares

About the Role The fares platform team powers the fares for all of Uber - thats all riders, earners, and eaters across the Uber and Uber Eats app. With 190B in gross bookings processed by the fares platform annually, we solve high impact problems which are critical to Ubers success.

As a Scientist on this team, you will leverage experiment design, exploratory data analysis, causal inference, and model development to solve a wide variety of problems in domains like pricing policy design, optimization, and defect reduction.

What the Candidate Will Need Bonus Points

What the Candidate Will Do

1. Refine ambiguous questions and generate data-backed hypotheses through a deep understanding of the data, systems, customers, and business.
2. Use experiments and causal inference methods to validate the hypothesis and drive business goals critical to Ubers success.
3. Act as a thought partner with cross-functional teams across various disciplines, including product, engineering, and operations, to drive product strategy. Influence the product roadmap for fares and several cross-organizational teams.
4. Build ML models to solve complex problems and create AI agents to automate data science workflows.
5. Communicate findings clearly to technical and non-technical leadership to influence decisions and product direction.

Basic Qualifications

1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Computer Science, or other quantitative fields.
2. 3 years of industry or academic experience as an Applied or Data Scientist or equivalent, with at least two of those years in industry.
3. Experience with experiment design, exploratory data analysis, causal inference, and model development.
4. Proficient in both a data ETL language (e.g., SQL) and a scripting language (e.g., Python, R).

Preferred Qualifications

1. 5 years of industry experience as an Applied or Data Scientist or equivalent.
2. Experience using statistical methodologies in platform, marketplace, or consumer domains.
3. Demonstrated ability to leverage data and systems thinking for storytelling and root cause analysis.
4. Excellent communication skills, able to lead initiatives across multiple product areas and communicate findings with leadership.

For New York, NY-based roles The base salary range for this role is USD 161,000 per year - USD 179,000 per year.

For San Francisco, CA-based roles The base salary range for this role is USD 161,000 per year - USD 179,000 per year.

For Seattle, WA-based roles The base salary range for this role is USD 161,000 per year - USD 179,000 per year.

For Sunnyvale, CA-based roles The base salary range for this role is USD 161,000 per year - USD 179,000 per year.

For all US locations, you will be eligible to participate in Ubers bonus program and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401k plan. You will also be eligible for various benefits. More details can be found at the following link: https://jobs.uber.com/en/benefits

Ubers 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 - lets 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 Ubers 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.