Sr. Applied Scientist, Road Safety

Uber Uber · Consumer · Seattle, WA +2 · Data Science

This role focuses on building and evaluating models to predict and mitigate road safety risks using telematics and other data. It involves designing and executing experiments to test the effectiveness of these models and evaluations, working cross-functionally with product and operations teams.

What you'd actually do

  1. You will own the driver pillar of our road safety risk eco-system.
  2. You will design and develop models to understand and predict risk and design experiments to test the effectiveness of evaluations.
  3. This is a highly cross-functional role, working with Product, Ops, and partner teams in marketplace to deliver a safer experience for everyone who uses Uber.

Skills

Required

  • 5 years of professional experience
  • Strong ML skills with both GLMs as well as modern methods like xgboost and deep learning
  • Experience working with large scale data
  • Experience designing and executing large scale experiments
  • Familiar with methods for experimentation beyond traditional A/B Testing

Nice to have

  • Experience with working with sensor data like IMU for event detection and activity recognition
  • Experience in risk modeling
  • Understanding of actuarial methodologies

What the JD emphasized

  • design and develop models
  • design experiments
  • test the effectiveness of evaluations

Other signals

  • predict risk
  • design experiments
  • test effectiveness of evaluations