Fraud Analytics Data Engineer (ML & Anomaly Detection)

A technology company in Toronto is seeking a skilled Data Engineer with strong expertise in Python and SQL, alongside experience in working with AWS. The role involves preparing datasets for machine learning models, running unsupervised models for anomaly detection, and building visualizations for executive reporting. Candidates should be comfortable in fast-paced environments and possess hands-on experience in clustering methods. This position offers a dynamic opportunity for those passionate about data and machine learning.
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