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 across 20+ countries.
Role type
Senior 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 / Machine Learning / Cross-Border Analytics
Deliverable
production ML models
Required skills
Deep learning, NLP, ranking algorithms, causal inference, A/B experimentation, Python, Java/Scala, distributed computing, high-performance computing, patent/publication experience
Preferred skills
Unix/Linux, professional software development
Technologies
Python, Java, Scala, deep learning frameworks, NLP libraries
Responsibilities
Analyze large-scale datasets to formulate hypotheses and design experiments; Develop and iterate on ML models to improve product discovery and conversion; Design and run A/B experiments on live traffic; Write production-quality code and collaborate with SDEs to deploy models into real-time and batch pipelines; Build end-to-end ML pipelines from data ingestion to online serving; Own model monitoring, performance debugging, and iterative improvements post-launch; Mentor junior scientists and interns; Publish findings in top-tier venues and file patents.
Seniority
Senior, hands-on IC