About the Role
We are seeking an applied science leader with experience managing technical teams and influencing stakeholders to protect and support Uber's customers. You'll be working across cross-disciplinary teams within Product, Engineering, Risk Management, Operations, and Actuarial to reduce exposure to accident risk through advanced modeling and strategize with business stakeholders to implement findings. Our team includes highly skilled and experienced scientists with diverse backgrounds in physical sciences, social sciences, and actuarial science
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Develop and lead statistical and machine learning efforts to identify and mitigate factors contributing to road safety risk. This includes the use of machine learning, experimentation, signal processing, time series analysis, geospatial analysis, and more.
- Develop strategy and roadmap to execute business objectives
- Design and analyze experimental and observational studies; communicate findings; facilitate launch decisions
- Work with a cross-functional team that includes product management, engineering, operations, and others to drive execution
- Use large-scale data processing such as Spark, Hive, Uber's proprietary machine learning platform, and more
Want more jobs like this?
Get jobs in San Francisco, CA delivered to your inbox every week.
---- Basic Qualifications ----
- 8 years of relevant work experience
- 5 years of people management
- Understanding of the US Auto Insurance market, including common coverages, insurance pricing, segmentation, and predictive modeling
- Masters in Mathematics, Engineering, Data Science, Economics, or related field
---- Preferred Qualifications ----
- Ph.D in Mathematics, Engineering, Data Science, Economics, or related field
- 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
- Ability to work across multiple teams with different objectives to synthesize potential trade-offs
For San Francisco, CA-based roles: The base salary range for this role is USD$241,000 per year - USD$268,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.