Applied Scientist I, Amazon Shipping
Core
Design and build large-scale forecasting and optimization systems for Amazon's global transportation network to improve customer experience and reduce costs.
Role type
Applied Scientist (Forecasting & Optimization)
Builds
Production forecasting and optimization systems for global logistics
Domain
Logistics / Transportation / Machine Learning
Deliverable
production ML models
Required skills
Java, C++, Python, SQL, RDBMS, tree-based models, deep learning (LSTMs, transformers), LLMs, reinforcement learning
Preferred skills
algorithm implementation, top-tier conference publications
Technologies
Java, C++, Python, SQL, Oracle, LSTMs, transformers, LLMs
Responsibilities
Guide model and system design across various techniques; Ensure models are production-ready, scalable, and robust; Partner with Product, Operations, and Engineering leaders; Own end-to-end business metrics; Contribute to the broader ML community through publications and knowledge sharing
Seniority
Individual Contributor