Uber is looking to reduce exposure to accident risk through advanced modeling and implement findings to protect and support its customers.
Requirements
- Understanding of the US Auto Insurance market, including common coverages, insurance pricing, segmentation, and predictive modeling
- Experience building and managing production Machine Learning models
- Experience creating risk classification plans, geospatial / territory analysis, price optimizations
- Experience in technology working with Product, Engineering, and other teams
- Machine learning
- Experimentation
- Signal processing
Responsibilities
- Develop and lead statistical and machine learning efforts to identify and mitigate factors contributing to road safety risk
- Design and analyze experimental and observational studies
- Use large-scale data processing such as Spark, Hive, Uber's proprietary machine learning platform
- Develop strategy and roadmap to execute business objectives
- Work with a cross-functional team that includes product management, engineering, operations, and others to drive execution
- Communicate findings and facilitate launch decisions
- Build and manage production Machine Learning models
Other
- 8 years of relevant work experience
- 5 years of people management
- Masters in Mathematics, Engineering, Data Science, Economics, or related field
- Ability to work across multiple teams with different objectives to synthesize potential trade-offs
