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We are looking for a Science Manager to lead the Advertiser Science team at Uber. The Advertiser team is the demand generation side of the Uber Ads marketplace which is a critical role for our Ads business growth. This is a great opportunity for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to use your strong quantitative skills in the fields of economics, statistics, and/or machine learning to improve the Uber user experience as well as the overall marketplace performance.
Job Responsibility:
Lead teams that design and execute product experiments and interpret the results to draw detailed and actionable conclusions
Lead teams that help build statistical, optimization, and machine learning models for a range of applications in the Ads demand generation space
Use data to understand product performance and to identify improvement opportunities and define product/team roadmaps
Present findings to senior leadership 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
Requirements:
Ph.D., M.S. or Bachelors degree in Statistics, Economics, Operations Research, Machine Learning, or other quantitative fields
Minimum 2 year of management or tech lead experience
Strong knowledge of experimental design and analysis
Knowledge of the underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics
Experience with exploratory data analysis, statistical analysis and testing, and model development
Ability to use Python/SQL to work efficiently at scale with large data sets
Nice to have:
8+ years of industry experience as an Applied or Data Scientist or equivalent
4+ years of management or tech lead experience
Experience in algorithm development and prototyping
Experience in Ads demand generation
Experience with productionizing algorithms for real-time systems