Senior Data Scientist

• Partner with one or more engineering teams to develop actionable insights that guide improvements to the Wayve AI Driver.
• Use experimental and observational analyses of real and simulated driving to help teams advance the functionality, safety, and performance of the Wayve AI Driver.
• Formulate and iterate on the performance metrics that organise engineering efforts and guide progress toward commercial success.
• Design experiments and targeted off-road measurements to ensure product requirements are delivered to customers while maintaining safety and performance.
• Investigate factors in model training and inference that lead to bottlenecks in functionality and performance.
• Identify and validate hypotheses for unlocking improvements.

Technologies:

• AI
• Hadoop
• Hardware
• Machine Learning
• Model Training
• PyTorch
• Python
• SQL
• Spark
• pandas

• 3+ years of experience working in a Data Science role.
• Fluent in querying and building large datasets, including writing production-level SQL for data-transformation pipelines.
• Prior experience designing robust real-world experiments, such as A/B tests, and critically evaluating test statistics.
• Strong foundation in statistics, including testing appropriate distributions and the assumptions behind frequentist statistics.
• Proficiency in a statistical scripting language and data science or ML packages, such as Python with pandas, sklearn, statsmodels, and scipy, or R with dplyr, caret, and stats.
• Strong ability to summarise, visualise, and communicate findings in a clear and compelling way.
• Track record of influencing team direction through your findings.
• Bias toward deriving actionable insight that can drive prioritisation and strategy for others.
• Comfortable working asynchronously across time zones with cross-functional partners.
• Deep curiosity about building something new and helping define AV2.0 and how we build it.
• Practical experience with machine learning, such as PyTorch.
• Passion to take research ideas to production.
• Track record of promoting statistical rigour and experimental best practices in prior roles.
• Prior experience using causal inference or econometric techniques and Bayesian methodologies for hypothesis testing.
• Prior experience using large datasets with distributed computing, such as Spark, Hadoop, or other map-reduce technologies.
• Experience working in a fast-moving tech company or startup.

We are Wayve, founded in 2017 and the leading developer of Embodied AI technology. Our advanced AI software and foundation models help vehicles perceive, understand, and navigate complex environments, improving the usability and safety of automated driving systems. We are building intelligent, mapless, hardware-agnostic AI products for automakers to accelerate the shift from assisted to automated driving. We value diversity, embrace new perspectives, and foster an inclusive workplace where everyones contributions matter. This is a full-time hybrid role based in Sunnyvale, CA, with an estimated salary range of $209,700 to $266,800 plus a competitive equity package. We offer a hybrid working policy, core working hours, and an inclusive interview experience, with accommodations available if needed.