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Scientists at Uber use data to analyze, improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Pricing and Incentives team, which owns our automated real-time pricing and incentives algorithms and platform. You will work on analyzing data, creating new metrics, and design experiments which will help design the models and inform the strategies that maintain reliability and improve the efficiency of Uber’s Mobility marketplace.
Job Responsibility:
Use data to understand product performance and to identify improvement opportunities
Develop novel experimentation and/or measurement methodology for use in large-scale marketplace settings
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
Requirements:
Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields
4+ years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry)
Experience in experimental design and analysis
Experience with exploratory data analysis, statistical analysis and testing, and model development
Proficiency in Python/R and SQL
Nice to have:
6+ years of industry/tech experience in applied science, data science, economics, machine learning, and/or optimization roles
Experience in using 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 and/or marketplace design
Experience in designing large scale experiments in complex environments
Well-honed communication and presentation skills
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp