The Data Science teams support Product and Engineering teams by designing experiments, implementing predictive models, and mathematically optimising resources.
Data scientists build computer vision and natural language processing applications with internal tooling allowing scientists to gather, label data, train and deploy the models globally.
Capturing credit card fraud is an uphill battle, as fraudsters constantly adapt and use stolen credit cards to find ways to get free rides. However, this team’s anti-fraud engine and machine learning models can capture such instances quickly, keeping costs down for honest users.