The Cross-Border (XB) Science & Analytics team is at the heart of Amazon's international marketplace expansion, powering science-driven solutions that enable customers across 20+ countries to discover and purchase products seamlessly across borders. Our work directly impacts millions in annualized business value through ML models, algorithms, and data-driven systems that solve some of Amazon's most complex cross-border challenges.

We are a lean, high-impact team of scientists working across various programs spanning search ranking, demand forecasting, pricing optimization, product recommendations, language understanding, and generative AI. We partner closely with product, engineering, and business teams across Amazon's global retail organization to take science from ideation to production at scale.

Key job responsibilities
We are looking for a passionate and technically solid Applied Scientist to join our team. In this role, you will design, develop,



and deploy machine learning models and algorithms that directly improve the cross-border shopping experience for millions of Amazon customers worldwide. You will work on challenging, ambiguous problems—from improving search relevance across languages to building ML-powered pricing and recommendation systems—with significant autonomy and end-to-end ownership.

This is a hands-on, high-visibility role. You will publish your research internally and externally, collaborate with world-class scientists and engineers, and see your work go live across Amazon's global marketplaces.

A day in the life
Research & Experimentation

Analyze large-scale datasets to identify patterns, formulate hypotheses, and design experiments

Develop and iterate on ML models (deep learning, NLP, ranking, causal inference) to improve cross-border product discovery, relevance, and conversion

Design and run A/B experiments on live traffic to measure model impact against business and customer metrics

Building & Shipping

Write production-quality c

📌 Applied Scientist II, Cross Border Science and Analytics (Bengaluru)
🏢 Amazon
📍 Bengaluru