Senior Machine Learning Data Scientist

Champion continuous learning experimentation and collaboration; Collaborate on fraud strategies with product engineering and fraud operations; Design feature engineering pipelines; Detect data drift and determine retraining; Monitor model quality in production; Own model lifecycle requirements experimentation model development evaluation model cards; Partner on deployment with ML engineers; Translate fraud patterns into ML solutions;