What are the responsibilities and job description for the Senior Data Scientist position at Waymo?
Job Description
Overview
At Waymo, we are revolutionizing the transportation industry with our autonomous driving technology. Our mission is to be the most trusted driver, and we're committed to making mobility safer and more accessible for everyone.
Background
Our journey began as the Google Self-Driving Car Project in 2009. Since then, we've made significant strides in building the Waymo Driver - the world's most experienced driver. This AI-powered system has driven tens of millions of miles on public roads and simulated billions of miles in a range of scenarios.
Rigorous Performance Evaluation
We take pride in evaluating the Waymo Driver's performance through rigorous testing and analysis. Our data scientists work closely with engineering teams to develop metrics and frameworks that ensure the Waymo Driver meets our strict standards for safety, compliance, and service quality.
Your Role
In this critical role, you will play a key part in ensuring the Waymo Driver meets its full potential. As a Data Scientist, your primary responsibilities include:
- Developing evaluation frameworks for autonomous vehicle performance and simulation quality
- Creating new metrics, interpreting trends, and investigating anomalies in AV data
- Designing novel statistical methods to handle unique aspects of AV data
- Framing and solving ambiguous problems through technical innovation
- Deriving data-driven conclusions and communicating findings to senior stakeholders
Requirements
To succeed in this position, you'll need:
- A degree in a quantitative field (e.g., Statistics, Mathematics, Physics)
- 5 years of industry experience in data science or a PhD in a quantitative field with 3 years of experience
- Expertise in advanced statistical methods and familiarity with machine learning systems/models
- Demonstrated knowledge of Python/SQL/R data analysis libraries and packages
PREFERRED QUALIFICATIONS
We're looking for candidates with:
- PhD in a quantitative field
- A proven track record of independently driving data science projects to deliver business value
- Experience in Autonomous Driving or Ride Hailing
- Expertise in adjacent areas like Advanced Machine Learning, Traffic Modeling, Safety Evaluation, or Prediction
