Senior Data Scientist, Fraud Risk Detection

📋 Description

• Explore complex datasets, with guidance from senior team members, to identify fraud patterns
• Work with senior data scientists to translate fraud questions into testable hypotheses.
• Help build machine learning models for fraud detection across account opening, account takeover
• Evaluate models using both technical and business metrics, such as precision, recall, fraud capture
• Develop and validate features using identity, transactional, behavioral, and other available data
• Write clean, well-tested code, and work with engineering to bring models and features into

🎯 Requirements

• 3+ years of experience in data science, machine learning, statistical modeling, or a related
• Bachelor's or advanced degree in computer science, statistics, mathematics, economics, engineering
• Foundation in supervised learning, model evaluation, feature selection, statistical inference, and
• Proficiency in Python, with the ability to write clean, readable, and well-tested code.
• Familiarity with common data science and machine-learning tools such as pandas, NumPy, and
• Investigative mindset and the ability to move from unusual data patterns to testable hypotheses.

🎁 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.