Data Scientist II, ROW AOP, Analytics Operations and Programs
Core
Developing scalable analytics applications, AI/ML products, and research models to optimize global supply chain operations including real-time capacity adjustment, route optimization, and abuse detection.
Role type
Senior IC machine-learning engineer (supply chain analytics)
Builds
Production ML models, AI agents, and data infrastructure for global logistics optimization
Domain
Supply chain logistics / Operations research
Deliverable
production ML models
Required skills
Machine learning, statistical modeling, Python, SQL, AI agent development, reinforcement learning, deep learning, supply chain operations knowledge
Preferred skills
Ph.D. in STEM, AWS services (S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2), GenAI benchmarking, cross-disciplinary project leadership
Technologies
Python, R, SAS, Matlab, AWS (S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2)
Responsibilities
Develop AI agents for data analytics, analyze data with statistical and ML techniques, develop science-based supply chain solutions, create and maintain data infrastructure for advanced analytics, document analysis and models, learn state-of-the-art statistical and ML techniques, understand Amazon Supply Chain operations
Seniority
Senior, hands-on IC