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Senior Scientist - Driver Incentives

Uber · New York, NY

Publicada em 22/02/2025

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About the RoleWe are looking for candidates with a passion for solving business problems with data. In this role, you will be able to use your strong quantitative skills in the fields of machine learning, statistics, and/or operations research to improve the Uber user experience as well as the overall marketplace performance. You'll be joining the Driver Incentive team to design, evaluate, a build promotional products for driversAs a Senior Scientist you will solve key business problems including designing incentives structures for drivers, measuring causal impacts of promotions, and creating ML-driven optimizations for marketplace growth. You will work hand in hand with product, engineering, and operations on new product launches, experiment design and algorithm development. We are a fast-moving team and are looking for creative and curious minds to join us!What You'll DoBuild statistical, optimization, and machine learning models for applications including pricing, targeting, and experimentation.Work with engineers and product managers to turn data science prototypes into robust, reliable solutions.Use data to understand product performance and to identify improvement opportunities.Solve ambiguous, challenging business problems using data-driven approaches.Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.Develop new methodologies for data science including modeling, coding, analytics, optimization, and experimentation.Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive system development end-to-end from conceptualization to final product.Basic QualificationsPh.D., M.S. or Bachelor's degree in Statistics, Economics, Mathemathics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.Minimum 2 years of industry experience as an Applied or Data Scientist or equivalent.Ability to use Python, SQL, or similar t
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