Scientist II, Fares

About The Role The fares platform team powers the fares for all of Uber – that’s 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 Uber’s 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

• Refine ambiguous questions and generate data backed hypotheses through a deep understanding of the data, systems, customers and business.
• Use experiments and causal inference methods to validate the hypothesis and drive business goals critical to Uber’s success.
• 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.
• Build ML models to solve complex problems and create AI agents to automate data science workflows.
• Communicate findings clearly to technical and non-technical leadership to influence decisions and product direction.

Basic Qualifications

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

Preferred Qualifications

• 5 years of industry experience as an Applied or Data Scientist or equivalent.
• Experience using statistical methodologies in platform, marketplace or consumer domains.
• Demonstrated ability to leverage data and systems thinking for storytelling and root cause analysis.
• 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 Uber’s bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., 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 Uber’s bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.