Applied Scientist
Core
Develop scalable ML, deep learning, and NLP techniques to detect and predict fraudulent activities, analyze transaction data patterns, and create predictive models for fraud protection.
Role type
Senior Applied Scientist (Fraud Detection & ML)
Builds
Amazon-scale data engineering & modeling pipelines for fraud detection and mitigation
Domain
Financial services / Fraud prevention / Machine Learning
Deliverable
production ML models
Required skills
Novel algorithm development, Machine Learning, Deep Learning, NLP, SQL, Python, AWS SageMaker, Spark, AWS EMR, Glue
Preferred skills
Java, Fraud detection domain knowledge, AI/ML-powered fraud detection advancements
Responsibilities
Develop novel fraud detection and mitigation solutions, build data engineering pipelines, collaborate with data scientists and engineers, translate fraud patterns into actionable insights
Seniority
Senior, hands-on IC