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Uber Sr Scientist Rider Pricing & Incentives 
United States, West Virginia 
679004633

24.06.2024
What You Will Do
  • 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
Basic Qualifications
  • 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

Preferred Qualifications
  • 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