Data Scientist, Data Quality & Provenance
Core
Partner with AI engineering teams to develop actionable insights guiding improvements to the Wayve AI Driver using experimental and observational analyses of real and simulated driving data.
Role type
Data Scientist (Data Quality & Provenance)
Builds
Performance metrics, experimental designs, and analysis of model training/inference bottlenecks for the Wayve AI Driver.
Domain
Autonomous driving / AI for mobility
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, experimental design (A/B testing), statistical foundations (distributions, frequentist stats), Python (pandas, sklearn, statsmodels, scipy) or R (dplyr, caret, stats), data visualization, strategic prioritization
Preferred skills
Machine learning (PyTorch), causal inference/econometrics, Bayesian methodologies, distributed computing (Spark, Hadoop)
Responsibilities
Formulate and iterate performance metrics to guide engineering progress; Design experiments and targeted off-road measurements; Investigate factors in model training and inference leading to bottlenecks
Seniority
Mid-level, hands-on IC
