About The Position

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information. This role follows a hybrid work schedule and you will report to the Manager of Product Data Science.

Requirements

  • Coding skills (Python & SQL)
  • Experience with A/B testing & Product Development
  • Experience implementing ML algorithms (e.g. XGBoost, Random Forest, DNNs)
  • At least 3 years of industry experience
  • Strong Communication and Stakeholder & Management skills
  • Intuition for when to be scrappy and when to be vigorous

Nice To Haves

  • Background in geospatial data science
  • Experience with physical product development
  • SF Bay Area based (you’ll need to spend a lot of time riding Waymos)

Responsibilities

  • Develop a deep understanding of how users experience and interact with Waymo as they ride, leveraging qualitative feedback to develop quantitative methods for understanding and improving features
  • Run experimentation to measure the effectiveness of in-car features on things like user feedback & retention
  • Identify gaps for potential improvements & new product features
  • Collaborate with Eng to develop robust data foundations for measuring new feature performance
  • Collaborate with Product & Eng on the development of future Waymo platforms & vehicles
  • Build and maintain ML framework for forecasting realistic ride hailing services in new territories
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