Lead Data Scientist (Hybrid)
Core
Lead Data Scientist developing and monitoring fraud detection models and pattern-recognition pipelines for lending products.
Role type
Senior IC Lead Data Scientist (Fraud Analytics)
Builds
Production ML models and pattern-recognition algorithms for fraud prevention
Domain
Fintech / Lending / Fraud Risk
Deliverable
production ML models
Required skills
Applied machine learning, Python, SQL, Fraud analytics, Risk modeling, Team leadership, Stakeholder communication
Preferred skills
AI in production applications, Underwriting process improvement
Technologies
Python, SQL
Responsibilities
Develop, deploy, and monitor models to detect fraud trends; Write Python programs for data analysis and predictive modeling; Partner with Fraud Operations to refine features and reduce false positives/negatives; Conduct ad hoc analysis on complex datasets; Apply AI in production applications; Manage team members and coordinate work with business priorities.
