Data Scientist II

Job Summary

A company is looking for a Data Scientist II - Fraud & Risk.

Key Responsibilities

• Design, develop, and implement advanced deep learning models for fraud and risk challenges
• Participate in all stages of the machine learning lifecycle, from data exploration to deployment
• Collaborate with cross-functional teams to drive results and communicate insights effectively

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or related field
• 2-4 years of experience developing and deploying deep learning models
• Proficiency in Python and major ML libraries/frameworks (e.g., PyTorch, TensorFlow)
• Experience with diverse data types, including tabular data and natural language
• Foundational understanding of machine learning algorithms and model evaluation techniques