Senior Data Scientist - Document Verification

Responsibilities

• Machine Learning & Model Development
• Design, develop, and improve ML models for document verification, fraud detection, image quality assessment, biometric verification, and related use cases.
• Research new features, modeling approaches, and fraud detection techniques to improve production performance.
• Partner with Engineering to deploy, monitor, and continuously improve production models.
• Analytics & Model Evaluation
• Analyze product performance, fraud trends, customer behavior, and emerging attack vectors.
• Design and execute model evaluations using offline and production datasets, measuring precision, recall, FAR/FRR, and business impact.
• Develop dashboards and KPIs to monitor model health, product performance, and operational metrics.
• Tooling & Automation
• Build tools and automation for model evaluation, performance monitoring, labeling workflows, and fraud investigations.

Languages