Senior Data Scientist - Fraud Detection
Core
Build production ML models for fraud detection and lead hands-on investigations into specific fraud cases to reconstruct attacker behavior and improve detection systems.
Role type
Senior IC data scientist (fraud detection & investigation)
Builds
Production ML models, fraud investigation reports, and trend analysis for anti-fraud platforms
Domain
Fintech / Cybersecurity / Fraud Risk
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, PySpark, feature engineering, large-scale data processing, classic ML models (Logistic Regression, Gradient Boosting), agentic AI, hypothesis testing, pattern synthesis
Preferred skills
Experience with network graphs, device intelligence, cloud platforms (AWS, GCP, Azure), Hadoop
Technologies
Python, SQL, PySpark, Spark, AWS, GCP, Azure, Hadoop
Responsibilities
Lead end-to-end model development from ideation to production and monitoring; Develop predictive features from complex, multi-dimensional data; Process massive, noisy, imbalanced datasets; Automate analytic pipelines using agentic AI; Lead investigations into complex fraud cases to reconstruct attacker sequences; Produce technical reports and trend narratives for stakeholders
Seniority
Senior, hands-on IC
