Staff Scientist

2 weeks ago

Toronto, Canada Uber Full time

Overview Staff Scientist - Ads & Offers at Uber . 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 built 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, and have the drive to research/propose new system designs with pragmatism. What You\'ll Do Build statistical, optimization, and machine learning models for a range of applications in the Ads & Offers space (e.g., auction, bidding, pacing, ranking). Design and execute product experiments and interpret the results to draw detailed and actionable conclusions. Use data to understand product performance and identify improvement opportunities. Present findings to senior management to inform business decisions. Collaborate with cross-functional teams across disciplines such as product, engineering, and marketing to drive system development end-to-end from ideation to productionization. Basic Qualifications 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 the 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. Preferred Qualifications 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. Excellent communication and presentation skills. Compensation and Benefits Salary ranges vary by location. For reference, CAD$189,000–CAD$210,000 (Canada) and USD$212,000–USD$235,500 (US). You will be eligible to participate in Uber\'s bonus program and may be offered an equity award and other compensation. Benefits details are available at the benefits page: Referrals increase your chances of interviewing at Uber by 2x. Seniority level Mid-Senior level Employment type Full-time Job function Research, Analyst, and Information Technology Industries Internet Marketplace Platforms #J-18808-Ljbffr

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