Staff Data Scientist - Machine Learning
September 20
Description
• Lead efforts within the organization to drive the design, development, optimization, and productionization of ML-based fraud models • Enable customers to have broader access to risky product features by designing a fraud system that balances precision of detection with customer experience and growth • Work with stakeholders in the fraud organization to identify opportunities for driving business value with ML • Collaborate cross-functionally with the engineering team to deploy models and monitor outcomes • Guide and mentor junior machine learning scientists and engineers
Requirements
• 5+ years of expertise in developing ML industry applications for fraud or risk applications • Demonstrated experience and/or interest in building fraud detection machine learning models • Ph.D. or equivalent in Computer Science, Statistics, or related field • Strong bias for action and team player • Ability to thrive in a fast-paced environment • Preferred: Familiarity with Sagemaker, Spark, TensorFlow, Keras, and PyTorch
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