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Lead Machine Learning Scientist, Fraud
Posted on 6/14/2022
INACTIVE
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
Keras
Pytorch
Tensorflow
Requirements
  • Is passionate about building end-to-end ML solutions that drive business value
  • Is curious and loves learning new and cutting-edge techniques coming out of industry and academia
  • Strong problem-solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions
  • Loves building things from the ground up
  • 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
Responsibilities
  • 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 the 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
Varo

501-1,000 employees

Online banking