Expert Data Scientist, Fraud Risk Detection

📋 Description

• Investigate large datasets, including exploratory analysis and fraud label development, to identify
• Translate ambiguous fraud and risk problems into clear hypotheses, analytical plans, model
• Develop machine learning models for fraud detection across account opening, account takeover, and
• Evaluate models using metrics like ROC/AUC/KS/Gini, precision/recall, fraud capture rate
• Develop and validate predictive features using identity, transactional, consumer credit history
• Write clean, efficient, well-tested Python and PySpark code, and collaborate with teams to bring

🎯 Requirements

• At least 3 years of experience in data science, machine learning, statistical modeling, or a
• Bachelor's or advanced degree in computer science, statistics, engineering, data science, or
• Direct experience developing fraud-detection, identity-risk, credit-risk, financial-crime, or other
• Demonstrated experience creating meaningful fraud features
• Proficiency in Python and PySpark, with experience writing modular and tested code for large
• Experience using common data science and machine-learning tools such as pandas, NumPy

🎁 Benefits

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays