Data Scientist

Job Summary

The Waymo Driver is the core of Waymo's fully autonomous ride-hail service and can be applied to various vehicle platforms and product use cases. As a data scientist in this role, you will develop evaluation frameworks for autonomous vehicle performance, large-scale ML models, and the quality of simulation. You will also develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. This role requires expertise in Python/SQL/R data analysis libraries and packages, and a strong background in quantitative fields such as statistics, mathematics, or physics.

Responsibilities

• Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation.
• Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving.
• Develop novel statistical methods to handle unique aspects of AV data; e.g., rate estimation with rare events, combining real and synthetic data, etc.
• Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders.
• Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo’s simulation software; facilitate deployment readiness decisions for both products.

Requirements

• Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)
• 3+ years of industry experience solving data science problems or a PhD in a quantitative field
• Expertise using advanced statistical methods in an applied setting
• Familiarity with ML systems/models

Qualifications

• Demonstrated knowledge of Python/SQL/R data analysis libraries and packages

Preferred Qualifications

• PhD in a quantitative field
• Experience solving problems related to Autonomous Driving or Ride Hailing
• Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction