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Uber Sr Scientist Rider Pricing & Incentives United States, West Virginia 679004633
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- Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business
- Design experiments and interpret the results to draw detailed and impactful conclusions
- Define how our teams measure success, by developing Key Performance Indicators and other user/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing
- Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines
- Develop data-driven business insights and work with cross-functional partners to identify opportunities and recommend prioritization of product, growth, and optimization initiatives
Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
Ability to use Python, SQL, R Spark, or similar technologies to work efficiently with large data sets
Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators
4+ years of industry experience as an Applied or Data Scientist or equivalent.
Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
Experience leading key technical projects and substantially influencing the scope and output of others.
Experience communicating qualitative research methods and findings to non-qualitative researchers.
Solid theoretical and applied ML skills and a strong background in mathematics and stat
Analyze large data sets to identify behavior trends among good users and bad actors, using statistics, data mining, and machine learning techniques
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