Uber Scientist II Pricing Incentives 

United States, West Virginia 

827617346

What You Will Do

• Use data to understand product performance and to identify improvement opportunities.
• Analyze data and build dashboards for monitoring of KPIs and market health
• Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
• Present findings 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.
• 1+ years of industry or academic experience in Applied or Data Scientist or equivalent.
• Experience in experimental design and analysis.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.
• Proficiency in SQL.

- - - - Preferred Qualifications ----

• Ability to use Python to work efficiently at scale with large data sets.
• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
• 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.

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