Uber Scientist II - Dynamic Pricing Surge 

United States, West Virginia 

208766741

What the Candidate Will Do

• Build statistical, optimization, and machine learning models for a range of applications in the earner incentives space.
• Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
• Use data to understand product performance and to identify improvement opportunities.
• 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 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.
• Knowledge of 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 languages in SQL

Preferred Qualifications

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

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

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .