Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

Uber Sr Manager Applied Science 
United States, West Virginia 
289553199

Yesterday

About the Role

- - - - What the Candidate Will Do ----

  1. 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.
  2. Develop strategy and roadmap to execute business objectives
  3. Design and analyze experimental and observational studies; communicate findings; facilitate launch decisions
  4. Work with a cross-functional team that includes product management, engineering, operations, and others to drive execution
  5. Use large-scale data processing such as Spark, Hive, Uber’s proprietary machine learning platform, and more

- - - - Basic Qualifications ----

  1. 8 years of relevant work experience
  2. 5 years of people management
  3. Understanding of the US Auto Insurance market, including common coverages, insurance pricing, segmentation, and predictive modeling
  4. Masters in Mathematics, Engineering, Data Science, Economics, or related field

- - - - Preferred Qualifications ----

  1. Ph.D in Mathematics, Engineering, Data Science, Economics, or related field
  2. Experience building and managing production Machine Learning models
  3. Experience creating risk classification plans, geospatial / territory analysis, price optimizations.
  4. Experience in technology working with Product, Engineering, and other teams
  5. 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 .