Senior Data Scientist
Core
Build and deploy graph-native ML models (GNNs, embeddings) and statistical/AI models to detect fraud, collusion, and identity risk for global banking and e-commerce networks.
Role type
Senior IC machine-learning engineer (fraud/risk)
Builds
Production-grade fraud detection and risk decisioning systems
Domain
Fintech, fraud prevention, risk management
Deliverable
production ML models
Required skills
Python, graph algorithms (GNNs), deep learning, statistical modeling, SQL, cloud platforms (AWS/Databricks/Azure), ML observability
Preferred skills
Prior graph-modeling experience, experience in fintech fraud/risk/payments/compliance
Technologies
Python, AWS, Databricks, Azure, SQL, DBT, Athena, BigQuery
Responsibilities
Design and deploy real-time ML models for fraud detection, run experiments to fine-tune model performance, build and extend graph-native models, ship production software with ML observability
Seniority
Senior, hands-on IC
