Senior Data Scientist

Wayve • Sunnyvale, CA

3d • Hybrid

About The Position

As a Data Scientist supporting AI Engineers, you will partner with one or more engineering teams to develop actionable insights that guide improvements to the Wayve AI Driver. Through experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety and performance of the Wayve AI Driver.

You will work closely with engineering and cross-functional partners to turn data into clear, practical direction. Your findings will help teams understand performance, validate product requirements and prioritise the opportunities that matter most. You will work asynchronously across time zones, communicate findings clearly and compellingly, and influence team direction through evidence.

Requirements

• At least 3 years of experience in a Data Science role.
• Fluency in querying and building large datasets, including writing production-level SQL for data-transformation pipelines.
• Experience designing robust real-world experiments, such as A/B tests, and critically evaluating test statistics.
• Strong statistical foundations, including selecting appropriate distributions and testing assumptions behind frequentist statistics.
• Proficiency in a statistical scripting language and data science or machine-learning packages, such as Python with pandas, sklearn, statsmodels or scipy, or R with dplyr, caret or stats.
• Skill in summarising, visualising and communicating findings in an accessible and compelling way.
• Experience influencing team direction through findings and a bias towards actionable insights that drive prioritisation and strategy.
• Comfort working asynchronously across time zones with cross-functional partners.
• Curiosity about building something new and enthusiasm for helping define AV2.0 and how it is built.

Nice To Haves

• Practical machine-learning experience, for example with PyTorch, and a passion for taking research ideas to production.
• A track record of promoting statistical rigour and experimental best practices.
• Experience with causal inference, econometric techniques or Bayesian methodologies for hypothesis testing.
• Experience working with large datasets and distributed computing technologies, such as Spark, Hadoop or other map-reduce tools.
• Experience working in a fast-moving technology company or startup.

Responsibilities

• Formulate and iterate on performance metrics that organise engineering efforts and guide progress towards commercial success.
• Design experiments and targeted off-road measurements to help ensure customer product requirements are met while maintaining safety and performance.
• Investigate factors in model training and inference that create bottlenecks in functionality and performance.
• Identify, test and validate hypotheses that can unlock improvements to the Wayve AI Driver.
• Summarise, visualise and communicate findings in an accessible way to support prioritisation and strategy.

Benefits

• Salaries benchmarked against the market annually.
• Meaningful equity, sharing in the ownership and long-term success of Wayve.
• Relocation support and visa sponsorship where applicable.
• Hybrid working, core hours and the chance to work hands-on in vehicle workshops and labs.
• Learning and development budgets with support for training, conferences and growth.
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships and team socials.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed