Fleet Response Optimization Lead
6 days ago
As a Senior Product Data Scientist at Waymo, you will play a key role in developing and implementing advanced analytics and modeling solutions to optimize Waymo's fleet response and monitoring systems. This hybrid role involves collaborating with Operations, Product, and Engineering teams to scale and improve fleet efficiency, ensuring the safe and efficient deployment of the Waymo Driver.
Key Responsibilities:
- Partner with cross-functional teams to design and implement data-driven solutions for fleet optimization
- Develop and maintain advanced analytics and modeling capabilities to inform decision-making
- Build and maintain state-of-the-art reporting infrastructure to support continuous improvement
- Collaborate with Engineering teams to define and develop data infrastructure for fleet assistance and monitoring
- Communicate and present findings to Waymo leadership
Requirements:
- 5+ years of relevant experience in data science or a related field
- Advanced analytics skills, including proficiency in SQL and Python
- Ability to structure and solve complex problems
- Data visualization expertise
- Excellent communication and stakeholder management skills
Preferred Qualifications:
- Expertise in performing analytics on remote operations
- Experience improving operations at scale
- Experience building optimization models
Compensation:
The estimated salary range for this position is $183,000 - $232,000 USD per year, depending on location and experience.
About Waymo:
Waymo is an autonomous driving technology company dedicated to making mobility safer and more accessible. With a strong focus on innovation and collaboration, we're shaping the future of transportation.
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