Improve the Uber rider experience and overall marketplace performance by analyzing data and solving new and difficult problems with data
Requirements
- Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics
- Experience in 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 SQL
- Experience in algorithm development and prototyping
- Experience in pricing optimization
- Experience with productionizing algorithms for real-time systems
Responsibilities
- Use data to understand product performance and to identify improvement opportunities
- Build statistical, optimization, and machine learning models for a range of applications in the pricing and incentives algorithms space
- Design and execute product experiments and interpret the results to draw detailed and actionable conclusions
- 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
Other
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields
- 2+ years of experience as an Applied or Data Scientist or equivalent (can be also as part of Ph.D training)
- Well-honed communication and presentation skills
- 2+ years of industry experience
