Data Science Manager/Lead

Technical Skills Needed:

• Work with large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity • Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including first-party and third-party fraud). • Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures. • Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies.
• 8+ years of experience in Python coding, SQL, Machine Learning
• Understanding of Deep Learning / Neural Networks (ANNs)
• Hands-on experience with XGBoost, Random Forest, GBM
• Experience in end-to-end ML model development: o Data Preparation o Feature Engineering o Model Training & Evaluation o Model Deployment
• Good understanding of: o Imbalanced data handling o Model evaluation