Senior Data Scientist

Job Summary

Combining deep fraud expertise with advanced statistical modeling, the full-time remote Senior Data Scientist will architect and own modeling strategies to combat various fraud types, establish model quality standards, and lead statistical innovation while collaborating with engineering and security teams.

Key responsibilities

• Architect and own advanced modeling strategies across fraud domains, driving framework selection based on business metrics
• Establish model quality standards and develop diagnostic frameworks to monitor performance and identify degradation signals
• Lead statistical innovation by exploring novel feature representations and mentoring junior data scientists on statistical significance

Required qualifications

• 5+ years of hands-on modeling experience with production accountability in fraud or security contexts
• Deep expertise in multiple modeling paradigms, including tree-based methods and deep learning architectures
• Advanced degree in Statistics, Data Science, Machine Learning, or equivalent experience in quantitative fields
• Proven ability to partner with AI-assisted automation tools while maintaining oversight on fraud modeling processes
• Comfort working in ambiguity and adversarial contexts, with a strong understanding of fraud patterns and attacker tactics