Senior Data Scientist

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. We aim to create autonomy that propels the world forward with intelligent, mapless, and hardware-agnostic AI products designed for automakers, accelerating the transition from assisted to automated driving.

About the role

As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, positioning Wayve as the leader in end-to-end AI for autonomous mobility.

• Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success
• Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance
• Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements

Requirements

• 3+ years experience working in a Data Science role
• Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines
• Prior experience designing robust real-world experiments (e.g., A/B) and critically evaluating test-statistics
• Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats
• Proficient in using a statistical scripting language and data science/ML packages (e.g., Python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)
• Well-versed in summarizing, visualizing, and communicating findings in an accessible and compelling way
• Track record of influencing team direction through your findings
• A bias toward deriving actionable insight that can be used to drive prioritization and strategy for others
• Comfortable working asynchronously across time zones with cross-functional partners
• Deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it

Skills

• Practical experience with machine learning (e.g., PyTorch)
• Passion to take research ideas to production
• Track record of promoting statistical rigor and experimental best practices in your prior roles
• Prior experience using causal inference/econometric techniques and Bayesian methodologies for hypothesis testing
• Prior experience using large datasets with distributed computing (e.g., Spark, Hadoop, or other map-reduce tech)
• Experience working in a fast-moving tech company or startup

Pay

The reasonably estimated salary for this role ranges from $209,700 to $266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

Schedule

This is a full-time, hybrid role based in Sunnyvale, CA. We operate core working hours so you can determine the schedule that works best for you and your team.

Benefits

• Hybrid working policy combining time in the office and remote work
• Inclusive interview experience with accommodations available upon request

Wayve is committed to creating a diverse, fair, and respectful culture that is inclusive of everyone based on their unique skills and perspectives.