Uber Scientist II Pricing Incentives 

United States, West Virginia 

630899297

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.