Uber Staff Scientist - Driver Pricing 

United States, West Virginia 

785374232

About the Role

We are looking for experienced candidates with a passion for solving new and difficult problems with data. As a Staff Scientist, you will use strong quantitative skills in the fields of statistics, economics, machine learning, and operations research to improve real-time driver pricing. You will work with product managers and engineers on model development, experiment design, and pricing innovations.

- - - - What the Candidate Will Do ----

• Build statistical, optimization, and machine learning models for strategic insights, simulations, and deeper understanding of marketplace performance
• Leverage large and sophisticated datasets to derive proactive insights that inform strategic decisions and improvements in key revenue-generating optimization engines at Uber
• Design and implement pricing experiments and interpret the results to draw detailed and actionable conclusions
• Present findings to senior management to advise on business decisions
• Work closely with multi-functional leads and partner teams to develop technical vision, new methodological approaches, and drive team direction
• Collaborate with product and engineering to drive pricing improvements end-to-end from conceptualization to final product

- - - - Basic Qualifications ----

• Ph.D. or M.S. in Statistics, Economics, Mathematics, Operations Research, Machine Learning, or other related quantitative fields
• 6+ years of industry experience as an Applied Scientist, Data Scientist, or equivalent
• Strong programming skills to prototype models and perform statistical analysis in Python (preferably), R, or similar
• Proficiency in using Python, SQL, or similar technologies to work efficiently with large data sets
• Experience in experimental design and analysis
• Knowledge of underlying mathematical foundations of statistics, economics, machine learning, optimization, and analytics
• Experience with exploratory data analysis, statistical analysis and testing, and model development

- - - - Preferred Qualifications ----

• Experience leading complex technical projects and substantially influencing the scope and output of others
• Track record of effectively engaging senior leadership and partner teams to build understanding of and consensus for the viewpoints of the team
• Thought leadership to drive multi-functional projects across multiple teams from concept to production
• Excellent communication skills to lead initiatives across multiple product areas and communicate findings with senior leadership
• Experience of working with large dataset using Spark, Hive, and HDFS

For New York, NY-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.