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Uber Scientist II Pricing Incentives 
United States, West Virginia 
630899297

30.07.2024

What You Will Do

  • Use data to understand product performance and to identify improvement opportunities.
  • Build statistical, optimization, and machine learning models for a range of applications in the pricing and incentives algorithms space.
  • Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
  • Present findings to senior management 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.

- - - - Basic Qualifications ----

  • Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
  • 2+ years of experience as an Applied or Data Scientist or equivalent (can be also as part of Ph.D training).
  • Knowledge of 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 to work efficiently at scale with large data sets.
  • Proficiency in SQL.

- - - - Preferred Qualifications ----

  • 2+ years of industry experience.
  • Experience in algorithm development and prototyping.
  • Experience in pricing optimization.
  • Experience with productionizing algorithms for real-time systems.
  • Well-honed communication and presentation skills.

For New York, NY-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.