Sr Scientist – Driver Pricing

The Driver Pricing team develops the algorithms, signals, and insights that power Uber’s real-time driver pricing. We use elements of modeling, causal inference, and optimization to set driver prices that dynamically align both customers’ and partners’ interests while maximizing the value created by the marketplace.

We are looking for experienced candidates with a passion for solving new and difficult problems with data. As a Sr Scientist, you will use strong quantitative skills in the fields of statistics, economics, machine learning, and operations research to improve real-time driver pricing. You will work with product managers and engineers on model development, experiment design, and pricing innovations.

What You Will Do

• Build statistical, optimization, and machine learning models for strategic insights, simulations, and deeper understanding of marketplace performance
• Leverage large and sophisticated datasets to derive proactive insights that inform strategic decisions and improvements in key revenue-generating optimization engines at Uber
• Design and implement pricing experiments and interpret the results to draw detailed and actionable conclusions
• Present findings to senior management to advise on business decisions
• Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction
• Collaborate with product and engineering to drive pricing improvements end-to-end from conceptualization to final product

Basic Qualifications

• Ph.D., M.S. or Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
• Ability to use Python, SQL, R Spark, or similar technologies to work efficiently with large data sets
• Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators

Preferred Qualifications

• 4+ years of industry experience as an Applied or Data Scientist or equivalent.
• Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
• Experience leading key technical projects and substantially influencing the scope and output of others.
• Experience communicating qualitative research methods and findings to non-qualitative researchers.
• Solid theoretical and applied ML skills and a strong background in mathematics and stat

Analyze large data sets to identify behavior trends among good users and bad actors, using statistics, data mining, and machine learning techniques

For New York, NY-based roles: The base salary range for this role is USD$174,000 per year – USD$193,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$174,000 per year – USD$193,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$174,000 per year – USD$193,500 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.