Applied Scientist II, Amazon Supply Chain
Core
Design and deploy machine learning models and algorithms for intelligent supply chain applications at global scale, translating scientific advances into production systems.
Role type
Applied Scientist II (Supply Chain)
Builds
Enterprise applications leveraging machine learning, generative AI, and agentic AI for supply chain operations
Domain
Supply Chain / Machine Learning / Generative AI
Deliverable
production ML models
Required skills
Machine learning model design, demand forecasting, inventory optimization, anomaly detection, generative AI, agentic AI, Python, PyTorch, Java, C++, experimentation frameworks, A/B testing
Preferred skills
Unix/Linux
Technologies
Python, PyTorch, Java, C++, Unix/Linux
Responsibilities
Design, develop, and deploy ML models for demand forecasting, inventory optimization, and anomaly detection; Develop generative AI and agentic AI solutions to automate supply chain workflows; Formulate business problems as ML problems and define data requirements and evaluation metrics; Drive end-to-end projects from ideation to production deployment; Collaborate with engineering and product teams to translate capabilities into product features
Seniority
Mid-level, hands-on IC