Uber Scientist II - Courier Pricing team 

United States, West Virginia 

275640436

• Develop algorithms for optimizing prices at scale.
• Design pricing experiments and use data for model training and pricing decisions.
• Use data to understand product performance and to identify improvement opportunities.
• Present findings to senior management to advise on business decisions.
• Collaborate with multi-functional teams across fields such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productization.

• Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathemathics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
• Experience with exploratory data analysis, statistical analysis and testing, causal inference or ML model development.
• Ability to use Python to work efficiently at scale with large data sets.
• Proficiency in languages and tools like SQL, R, and Spark.

• 3-5 years of industry experience.
• Proven experience as an Applied Scientist, Machine Learning Engineer, Product Data Scientist, Research Scientist, Software Engineer, or equivalent.
• Experience in algorithm development and prototyping.
• Experience in solving an ambiguous business problem in a structured and principled way
• Strong communication skills, including through documentation and presentations.
• Experience working in a marketplace-related problem space, esp. pricing optimization
• Experience designing large-scale price experiments and using the data for pricing decisions.
• Experience designing model architectures for pricing algorithms.

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.