Remote Staff Data Scientist

Summary

Join Varo's Data Science Team as a Lead Machine Learning Engineer in Fraud to develop ML-based fraud models, enable customers to access risky product features, and collaborate with stakeholders to drive business value.

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

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 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

Preferred Qualifications

Familiarity with Sagemaker, Spark, TensorFlow, Keras, and PyTorch