Wayve · 16 hours ago
Data Scientist, Fleet Operations
Sunnyvale, CA
Full-time
Hybrid
Mid Level
3+ years expWayve is the leading developer of Embodied AI technology, focused on enhancing the usability and safety of automated driving systems. The Data Scientist in the Fleet Systems and Insights team will optimize fleet operations through data-driven insights and operational research, guiding strategic decision-making and improving the on-road testing lifecycle.
Artificial Intelligence (AI)Autonomous VehiclesElectric VehicleMachine Learning
Responsibilities
Develop frameworks to synthesize complex operational data (e.g., vehicle performance, route optimisation, and experiments scheduling) to inform strategy at both the product and company level
Identify key performance metrics for fleet operations and continuously refine them to ensure they align with wider business goals
Create and apply novel experimental methodologies to enhance the signal-to-noise ratio and speed up feedback loops, improving operational decision-making and optimising use of on-road testing for ML advancements
Combine experimental methods with causal inference techniques to test and optimise operational strategies
Qualification
Required
3+ years of experience in a Data Science role, with a focus on operations research, process automation and optimisation, or similar fields
Proficient in querying and building large datasets, writing production-level SQL for data transformation pipelines
Experience designing and evaluating real-world experiments (e.g., A/B testing) to optimize operations and performance
Solid understanding of statistical principles, including hypothesis testing, distributions, and assumptions behind statistical methods
Proficient in using a statistical scripting language (e.g., Python, R) and relevant packages (e.g., pandas, sklearn, statsmodels)
Strong ability to summarize, visualize, and communicate data insights in a clear and compelling manner
Proven track record of driving operational improvements and influencing team strategies with data-driven findings
A focus on actionable insights that can directly inform fleet operations prioritization and optimization strategies
Preferred
Practical experience with machine learning and optimization techniques (e.g., pytorch, scikit-learn)
Experience promoting statistical rigor and experimental best practices in previous roles
Familiarity with causal inference, econometrics, or Bayesian methods for testing hypotheses in operations research
Prior experience working with large datasets and distributed computing (e.g., Spark, Hadoop)
Experience in a fast-paced tech or startup environment
Company
Wayve
Wayve develops AI software for automated driving that learns from data to navigate environments.
201-500 employees
H1B Sponsorship
Wayve has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (34)
2024 (5)
2023 (1)
2022 (3)
Funding
Current Stage
Growth StageTotal Funding
$1.26BKey Investors
Innovate UKUberSoftBank
2025-07-28Grant
2024-08-29Series C
2024-05-06Series C· $1B
Leadership Team
Alex Kendall
Co-Founder & CEO
Max Warburton
Chief Financial Officer
Recent News
Tech Xplore
2026-01-07
2026-01-05
2025-12-28
Company data provided by crunchbase