
Senior Data Scientist
About this role
Wayve is hiring a Senior Data Scientist in Sunnyvale, California USA, to partner with engineering teams and develop actionable insights that improve the Wayve AI Driver. This role is well-suited for a professional with a strong statistical background who enjoys turning complex data into clear, practical direction for autonomous vehicle technology.
Role Overview
Wayve is seeking a Senior Data Scientist to join the team in Sunnyvale, California USA. In this position, the candidate will support AI Engineers by conducting experimental and observational analyses of real and simulated driving data. The focus is on advancing the functionality, safety, and performance of the Wayve AI Driver while collaborating asynchronously across time zones with cross-functional partners.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Wayve builds the embodied intelligence that moves real vehicles safely and creates an AI platform for autonomous driving. The company pioneers an end-to-end AI approach that enables vehicles to learn directly from real-world experience without relying on hand-coded rules or pre-mapped environments. Wayve operates main hubs in London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg.
How to Apply
Candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the salary range for the Senior Data Scientist role?
The salary range is $209.7K to $240K.
How many years of experience are required?
Candidates must have 3+ years of experience in a Data Science role.
Where is the position located?
The position is located in Sunnyvale, California USA, with a hybrid working model.
Is visa sponsorship available?
Yes, relocation support and visa sponsorship are available where applicable.
What technical skills are required?
Requirements include fluency in SQL, proficiency in a statistical scripting language and packages like Python (pandas, sklearn, statsmodels, scipy) or R (dplyr, caret, stats), and strong statistical foundations.