Senior Data Scientist - Fraud Detection
Core
Build production ML models for fraud detection at scale and lead hands-on investigations into specific fraud cases to reconstruct attacker behavior.
Role type
Senior IC data scientist (fraud detection)
Builds
Production ML models, agentic AI automation pipelines, and fraud trend reports
Domain
Fintech / Cybersecurity / Fraud Risk
Deliverable
production ML models
Required skills
Python, SQL, PySpark, Spark, Hadoop, cloud platforms (AWS/GCP/Azure), classic ML models (Logistic Regression, Gradient Boosting), feature engineering, large-scale data processing, agentic AI
Preferred skills
None stated
Technologies
Python, SQL, PySpark, Spark, Hadoop, AWS, GCP, Azure
Responsibilities
Lead end-to-end model development from ideation to productionizing; Develop predictive features from multi-dimensional data; Process massive noisy datasets; Automate analytic pipelines with agentic AI; Lead investigations into complex fraud cases; Reconstruct attacker sequences and hypothesize intent; Produce technical reports and case studies; Generate fraud trend reports for customers
Seniority
Senior, hands-on IC
