Business Intelligence Analyst

About The Company

Waymo is a pioneering autonomous driving technology company committed to transforming mobility and enhancing safety on the roads. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver, the world's most experienced autonomous driver. With a mission to be the most trusted driver globally, Waymo aims to improve access to transportation services while significantly reducing traffic-related fatalities. The Waymo Driver powers Waymo's fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. To date, Waymo has completed over ten million rider-only trips, driven more than 100 million miles on public roads across more than 15 U.S. states, and conducted tens of billions of miles in simulation, demonstrating its extensive experience and commitment to safety and innovation.

About The Role

We are seeking a highly skilled Product Data Scientist to join our Supply Operations team. In this hybrid role, you will collaborate closely with Engineering, Product, and Operations teams to leverage data in driving operational excellence and safety. Reporting to the Product Data Science Lead, you will be responsible for defining and maintaining key performance indicators (KPIs), developing scalable data infrastructure, and analyzing operational data to enhance response protocols and overall system performance. Your insights will directly impact the safety, efficiency, and scalability of Waymo's autonomous driving operations. This position offers a unique opportunity to work at the forefront of autonomous vehicle technology, applying advanced data science techniques to real-world challenges in a fast-paced, innovative environment.

Qualifications

• 8+ years of experience in a related technical field or equivalent practical experience
• Proven track record of architecting and scaling data projects
• Strong expertise in data modeling, warehousing, and building ETL pipelines
• Excellent communication skills with the ability to convey complex topics clearly to stakeholders at all levels
• Action-oriented analytical mindset with the ability to translate data insights into actionable recommendations
• Experience working with cross-functional teams in a fast-paced environment

Responsibilities

• Define, build, and maintain KPIs and metrics to monitor operational safety and quality across the Operations Center
• Architect and scale data infrastructure to support automated reporting for Road Rule Events, enhancing operational transparency and safety insights
• Quantify operational capacity to handle events, providing data-driven insights to optimize team performance and response protocols
• Analyze agent response accuracy and patterns to identify performance trends and opportunities for workflow optimization
• Collaborate with cross-functional teams to develop robust data pipelines and reporting solutions that support operational resilience
• Contribute to AI model training by providing insights from operational data and performance analysis

Benefits

• Competitive base salary ranging from $200,000 to $247,000 USD, commensurate with experience and location
• Participation in Waymo's discretionary annual bonus program and equity incentive plan
• Comprehensive health, dental, and vision insurance plans
• Generous paid time off and flexible work arrangements
• Opportunities for professional growth and development within a leading autonomous vehicle company
• Access to cutting-edge technology and innovative projects in mobility and safety

Equal Opportunity

Waymo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We believe that diverse perspectives foster innovation and strengthen our mission to build the most trusted driver in the world.