FAQs
What are the key responsibilities of the Sr Manager, Applied Science?
The key responsibilities include developing and leading statistical and machine learning efforts to enhance road safety, designing and analyzing studies, collaborating with cross-functional teams, and using large-scale data processing tools.
What qualifications are required for this role?
The basic qualifications include 8 years of relevant work experience, 5 years of people management experience, an understanding of the US Auto Insurance market, and a Master's degree in a related field.
Is a Ph.D. preferable for applicants?
Yes, a Ph.D. in Mathematics, Engineering, Data Science, Economics, or a related field is preferred.
What type of experience should candidates have?
Candidates should have experience in building and managing production machine learning models, creating risk classification plans, conducting geospatial analysis, and working with cross-functional technology teams.
What is the salary range for this position in San Francisco, CA?
The base salary range for this role is USD$241,000 per year to USD$268,000 per year.
Will there be any additional compensation besides the base salary?
Yes, candidates will be eligible for Uber's bonus program, and may also be offered an equity award and other types of compensation.
What benefits are available for this role?
Various benefits are available, details of which can be found at the following link: https://www.uber.com/careers/benefits.
What kind of teams will the Sr Manager, Applied Science collaborate with?
The Sr Manager will work with cross-disciplinary teams including Product, Engineering, Risk Management, Operations, and Actuarial.
What specialized skills are preferred for candidates?
Preferred skills include experience building production machine learning models, creating risk classification plans, conducting geospatial analysis, and a strong ability to synthesize trade-offs across multiple teams with different objectives.