Job Description
Applied Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Earner Incentives team, which owns our automated structural and real-time incentive algorithms and platform. You will work on designing and targeting incentive structures that make Uber’s Rides and Eats platforms highly attractive from an earner perspective while also improving the efficiency of the Uber marketplace. Some examples of the exciting projects you may contribute to include optimizing promotions to encourage earners to drive in times and places of peak consumer demand, building incentive-compatible menus for earners who reach a certain activity threshold each week, redesigning our real-time driver and courier surge products, and figuring out how to use incentives to encourage efficient cross-platform driving.
We are looking for candidates with a passion for solving new and difficult problems with data. In the role, you will be able to use your strong quantitative skills in the fields of economics, machine learning, computer science, and/or operations research to improve outcomes for Uber's earners and overall marketplace.
- Build statistical, optimization, and machine learning models for a range of applications in the earner incentives space.
- Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
- Use data to understand product performance and to identify improvement opportunities.
- Present findings to senior management to inform business decisions.
- Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.
- Ph.D., M.S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent).
- Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
- Knowledge of experimental design and analysis.
- Experience with exploratory data analysis, statistical analysis and testing, and model development.
- Ability to use Python to work efficiently at scale with large data sets.
- Proficiency in languages and tools like SQL, R, and Spark.
- 6 years of industry experience.
- Experience in algorithm development and prototyping.
- Experience with productionizing algorithms for real-time systems.
- Well-honed communication and presentation skills.
For San Francisco, CA-based roles: The base salary range for this role is $203,000 per year - $225,500 per year. For Seattle, WA-based roles: The base salary range for this role is $203,000 per year - $225,500 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.