Applied Scientist II, Cross Border Science and Analytics
Core
Design, develop, and deploy machine learning models and algorithms to solve complex cross-border challenges for Amazon's international marketplace, enabling seamless product discovery and purchase across 20+ countries.
Role type
Applied Scientist (Cross-Border Science & Analytics)
Builds
ML-powered search ranking, demand forecasting, pricing optimization, product recommendations, and language understanding systems for global retail.
Domain
E-commerce, Cross-Border Trade, Machine Learning
Deliverable
production ML models
Required skills
Machine learning model design and deployment, Deep learning, NLP, Ranking algorithms, Causal inference, A/B experimentation, Python, Java/Scala, Data mining, Parallel and distributed computing, High-performance computing
Preferred skills
Patents or publications at top-tier peer-reviewed conferences, Experience with Unix/Linux, Professional software development
Technologies
Python, Java, Scala, Deep learning frameworks, NLP libraries, Distributed computing frameworks
Responsibilities
Analyze large-scale datasets to identify patterns and formulate hypotheses, Develop and iterate on ML models to improve cross-border product discovery and conversion, Design and run A/B experiments on live traffic, Write production-quality code and work with SDEs to deploy models into real-time and batch inference pipelines, Build end-to-end ML pipelines from data ingestion to online serving, Mentor junior scientists and interns, Publish findings in top-tier venues and file patents