Data Scientist, Data Quality

ph3About us /h3pFounded 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. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career /ph3The Role /h3pAs 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, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility. This means you might: 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 /ph3About you /h3h3Essential /h3ulli3+ years experience working in a Data Science role. /liliFluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines. /liliPrior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics. /liliFoundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats. /liliProficient 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). /liliWell-versed in summarising, visualising and communicating findings in an accessible and compelling way. /liliTrack record of influencing team direction through your findings. /liliA bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others. /liliComfortable working asynchronously across time zones with cross-functional partners. /liliYou are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it. /li /ulh3Desirable /h3ulliPractical experience with machine learning (e.g. PyTorch). /liliPassion to take research ideas to production. /liliTrack record of promoting statistical rigour and experimental best practices in your prior roles. /liliPrior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing. /liliPrior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech). /liliExperience working in a fast-moving tech company or startup. /li /ulpThis role is a full-time role based in Stuttgart, Germany. /ppAt Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core

working hours
so you can determine the schedule that works best for you and your team. /ppWayve is committed to creating an inclusive interview experience. If you require any accommodations or ad /p /p