Senior Machine Learning Data Scientist
Core
Develop and deploy machine learning models to detect and prevent fraud, assess risk, and unlock business value for Extend's post-purchase protection platform.
Role type
Senior IC machine learning data scientist (fraud detection)
Builds
Production-grade ML systems for fraud prevention and risk assessment
Domain
E-commerce / Retail / Fraud detection
Deliverable
production ML models
Required skills
Python, SQL, model selection, evaluation methodology, feature engineering, PyTorch, scikit-learn, XGBoost
Preferred skills
fraud detection systems, AWS SageMaker, graph data models, model monitoring tooling
Technologies
PyTorch, scikit-learn, XGBoost, AWS SageMaker, Arize
Responsibilities
Own the model lifecycle from requirements to production deployment; translate complex fraud patterns into ML solutions; design and maintain feature engineering pipelines; monitor model quality and detect data drift; partner with leadership and operations to define fraud strategies
Seniority
Senior, hands-on IC
