Description
Vana is hiring a Data Scientist focused on fraud prevention to design and develop models that detect anomalous behavior, suspicious transactions, and fraud-related patterns. The role involves analyzing large transactional and behavioral datasets, building and validating supervised and unsupervised classification models, engineering features, collaborating with engineering, product, and operations teams, monitoring production performance, and researching fraud-detection techniques. The position requires a relevant degree, 1–2 years of data science or analytics experience, 2+ years of Python and SQL experience, and knowledge of fraud detection, anomaly detection, or imbalanced datasets.
