Senior Data Scientist

Develop innovative scalable data-driven solutions for financial crime and fraud detection within the COOA tribe. Focus areas include imbalanced classification, outlier detection, entity resolution, and network or graph applications. Work closely with cross-functional squads to build, deploy, and govern model pipelines following high quality standards. Apply a broad spectrum of machine learning techniques ranging from classical econometric models and logistic regression to gradient boosting, random forests, and neural networks. Leverage advanced statistical modelling, regression, clustering, and NLP methods. Collaborate within a globally distributed team using strong Python programming capabilities, object-oriented principles, package development, Git, and Apache Spark to deliver robust data-driven products.