Senior Data Scientist

Job Summary

As a full-time Senior Data Scientist specializing in Fraud Analytics, the candidate will build and evaluate fraud models, transitioning from vendor scores to in-house models while collaborating with various teams to enhance fraud detection and prevention strategies.

Key responsibilities

• Build and evaluate fraud models for various risk scenarios, including account takeover and scams
• Design the transition from third-party risk signals to Circle's in-house models and establish data requirements
• Track and analyze fraud metrics to set thresholds and optimize fraud detection strategies

Required qualifications

• 5+ years of experience in data science or applied machine learning focused on fraud, risk, or financial crime
• Advanced proficiency in Python and SQL, with experience in XGBoost, LightGBM, or similar tools
• Experience in building models with sparse or delayed labels and strong statistical knowledge
• Proven ability to take models to production and monitor their performance
• Effective communication skills with both technical and non-technical stakeholders