Senior Data Scientist
Core
Building real-time machine learning systems for fraud detection and risk management in financial services.
Role type
Senior Applied Data Scientist (Fraud Detection)
Builds
Production-grade ML models for identity risk, fraud detection, and credit risk.
Domain
Fintech / Financial Services / Fraud Detection
Deliverable
production ML models
Required skills
Supervised learning, feature engineering, model evaluation, tree-based models, Python, SQL, handling imbalanced datasets, data wrangling at scale, metrics development, dashboarding
Preferred skills
Graph modeling, BI tools (Looker), end-to-end pilot management, financial fraud domain knowledge
Technologies
Python, SQL
Responsibilities
Design, train, and evaluate ML models for fraud detection; develop testing plans and performance reports; support production ML workflows including feature generation and monitoring; document findings and communicate insights to internal teams; maintain model documentation and governance processes.
Seniority
Senior, hands-on IC
