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.
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.
