Senior Data Scientist
Wayve is a London-headquartered embodied-AI company developing and licensing mapless, vehicle-agnostic driving software for assisted, automated, and robotaxi applications.
About Wayve
Wayve Technologies Ltd. develops the Wayve AI Driver, an end-to-end, data-trained software platform that runs on onboard vehicle compute and native sensors. It is designed for OEM integration across L1 driver assistance through L4 automated driving, without HD maps.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Wayve is hiring a Senior Data Scientist based in Sunnyvale, California, to partner with AI engineering teams and improve the functionality, safety, and performance of its AI Driver through analysis of real and simulated driving data.
Requirements
- 3+ years of experience working in a Data Science role.
- Production-level SQL experience for querying and building large datasets and data-transformation pipelines.
- Experience designing robust real-world experiments and evaluating test statistics.
- Strong foundations in statistical distributions, frequentist testing, and statistical assumptions.
- Proficiency with Python data science and statistical packages or equivalent R tooling.
- Ability to summarize, visualize, and communicate findings clearly and compellingly.
- Track record of influencing team direction through data-driven findings.
- Comfort working asynchronously across time zones with cross-functional partners.
- Experience with machine learning and taking research ideas to production is desired.
- Experience with statistical rigor, causal inference, econometrics, Bayesian methodologies, distributed computing, or fast-moving technology companies is desired.
Responsibilities
- Develop and iterate performance metrics that guide engineering progress and commercial success.
- Design experiments and targeted off-road measurements to validate product requirements, safety, and performance.
- Investigate model training and inference bottlenecks and validate hypotheses for improvement.
- Influence team direction, prioritization, and strategy through actionable data-driven findings.
- Work cross-functionally and asynchronously with engineering partners across time zones.
Benefits
- Estimated annual salary of $209,700 to $266,800.
- Competitive equity package.
- Hybrid working policy combining office and workshop collaboration with work from home.
- Core working hours with flexibility to determine a schedule that works for the team.
- Inclusive interview experience with accommodations and adjustments available.
