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Staff Data Scientist Fraud
2 months ago
Key Responsibilities
Lead the design, development, optimization, and productionization of ML-based fraud models
Collaborate with stakeholders to identify opportunities for driving business value with ML
Guide and mentor junior machine learning scientists and engineers
Required Qualifications
5+ years of experience in developing ML applications for fraud or risk
Demonstrated experience in building fraud detection machine learning models
Ph.D. or equivalent in Computer Science, Statistics, or a related field
Strong bias for action and ability to thrive in a fast-paced environment
Preferred familiarity with Sagemaker, Spark, TensorFlow, Keras, and PyTorch