What you'll be doing
- 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
You’ll bring the following required skills and experiences
- 4+ 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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