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Uber is looking to improve the efficiency and reliability of its Mobility marketplace by analyzing data, creating new metrics, and designing experiments to inform strategies for automated real-time pricing and incentives algorithms and platforms.

Requirements

• Experience in experimental design and analysis.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.
• Proficiency in Python/R and SQL.
• 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 designing large scale experiments in complex environments.

Responsibilities

• 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.

Other

• 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).
• Well-honed communication and presentation skills.
• Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office.