Scientist, Tech

Scientist, Tech Department: Data Science Team: Data Scientist Location: Sunnyvale, United States Type: Full-Time **Employer:** Uber Technologies, Inc. **Job Title:** Scientist, Tech **Job Location:** San Francisco, California **Job Type:** Full Time **Rate of Pay:** $164,403 to $197,000 per year You will be eligible to participate in Uber's bonus program, and may be offered 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). **Duties:** Maximize marketplace efficiency through influencing supply and demand in real time which involves developing fundamental understandings of Uber's rider and driver behavior. Create pricing algorithms that incorporate both marketplace dynamics and supply preferences. Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data. Match the best supply to the most needed demand in an effective manner. Identify relationships and trends in data and build key algorithms behind real-time pricing, rider patience, and driver preferences over riders. Design and analyze experiments that provide insights to improve marketplace efficiency. Perform problem solving on high impact open questions, prototype cutting-edge mechanisms to production and engage in large scale experimentation. Collaborate with Products, Ops, Engineering, and other Applied Scientists to own and drive a large part of the rider behavior and pricing data science roadmap to take Uber's products to the next level. Analyze and interpret statistical data to identify significant differences in relationships among sources of information. May telecommute. Employer will accept a Ph.D. degree in Computer Science, Operations Research, Economics, Data Science, Mathematics, Statistics, or related field; OR completion of all coursework (all but dissertation) towards a Ph.D. degree in Computer Science, Operations Research, Economics, Data Science, Mathematics, Statistics