Ravelin is a fraud detection company that uses machine learning and network analysis to help make online transactions safer. The Junior Data Scientist will join the Detection team, which continuously trains and deploys real-time fraud detection models to keep fraud rates low and clients happy. Models must meet strict service-level agreements, returning every prediction in under 300 milliseconds. The team investigates model performance when results are not as expected and works closely with Data Engineering and Intelligence & Investigations. The role involves training, deploying, debugging, and evaluating fraud detection models. It combines research into new techniques with pragmatic, incremental improvements to models and production systems. Model evaluation can be challenging because fraud labels may not be available for several months, so the role requires judgement when investigating ambiguous cases and assessing model reliability. Ravelin provides the equipment, space, and guidance needed to develop fraud detection models.
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Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed