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Every day thousands of merchants use our Advertising and Offers platform to reach users on Uber to grow their businesses. The Science team on Ads & Offers designs and builds the core algorithmic components of this system. As a Staff Scientist on the team, you will work on understanding how various parts of the system (e.g. auction, pacing, bidding, ranking) are performing. You will lead the design and implementation of new algorithms to make our Ads system more efficient and performant. You will also work on the interaction of ads with the different marketing levers available to merchants, like offers. We are looking for experienced candidates, who have had experience building Ads systems to help accelerate our growth. The ideal candidate should possess a strong passion for understanding complex systems, have the curiosity to understand why systems behave in certain ways, have the drive to research / propose new system designs and is a pragmatist.
Job Responsibility:
Build statistical, optimization, and machine learning models for a range of applications in the Ads & Offer space
Design and execute product experiments and interpret the results
Use data to understand product performance and to identify improvement opportunities
Present findings to senior management
Collaborate with cross-functional teams across disciplines such as product, engineering, and marketing
Requirements:
Ph.D., or M.S. in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields
Minimum 4 years of industry experience as an Applied or Data Scientist or equivalent
Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics
Experience in experimental design and analysis
Experience with exploratory data analysis, statistical analysis and testing, and model development
Ability to use Python or R to work efficiently at scale with large data sets
Nice to have:
6+ years of industry experience
Proficiency in SQL
Experience in algorithm development and prototyping
Experience in building Ads Delivery systems
Experience with productionizing algorithms for real-time systems