Applied Scientist II, Cross Border Science and Analytics
Amazon· Applied Science
About this role
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 strong 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 code (Python, Java/Scala) and work with SDEs to deploy models into real-time and batch inference pipelines
Build end-to-end ML pipelines—from data ingestion and feature engineering to training, evaluation, and online serving
Own model monitoring, performance debugging, and iterative improvements post-launch
Collaboration & Communication
Participate in weekly science syncs, design reviews, and cross-functional standups with product managers, engineers, and business stakeholders
Translate business problems into well-defined science problems, and communicate results and trade-offs to both technical and non-technical audiences
Contribute to technical documentation—architecture wikis, experiment write-ups, and model cards
Growth & Community
Present at internal ML paper reading sessions and science forums
Stay current with state-of-the-art research (NeurIPS, ICLR, ACL, KDD) and bring new ideas to the team
Mentor junior scientists and interns; participate in hiring interviews and debriefs
Publish findings in top-tier venues and file patents where applicable
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 strong 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 code (Python, Java/Scala) and work with SDEs to deploy models into real-time and batch inference pipelines
Build end-to-end ML pipelines—from data ingestion and feature engineering to training, evaluation, and online serving
Own model monitoring, performance debugging, and iterative improvements post-launch
Collaboration & Communication
Participate in weekly science syncs, design reviews, and cross-functional standups with product managers, engineers, and business stakeholders
Translate business problems into well-defined science problems, and communicate results and trade-offs to both technical and non-technical audiences
Contribute to technical documentation—architecture wikis, experiment write-ups, and model cards
Growth & Community
Present at internal ML paper reading sessions and science forums
Stay current with state-of-the-art research (NeurIPS, ICLR, ACL, KDD) and bring new ideas to the team
Mentor junior scientists and interns; participate in hiring interviews and debriefs
Publish findings in top-tier venues and file patents where applicable
Basic qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred qualifications
- Experience using Unix/Linux
- Experience in professional software development
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Frequently Asked Questions
Is the salary disclosed for the Applied Scientist II, Cross Border Science and Analytics position at Amazon?
The salary for this Applied Scientist II, Cross Border Science and Analytics role at Amazon is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Applied Scientist II, Cross Border Science and Analytics position at Amazon located?
This Applied Scientist II, Cross Border Science and Analytics role at Amazon is based in Bengaluru, Karnataka, IND. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Applied Scientist II, Cross Border Science and Analytics role at Amazon full-time or part-time?
This is listed as a full time position. It is posted as a Applied Scientist II, Cross Border Science and Analytics role in the Applied Science department at Amazon.
Which team or department does the Applied Scientist II, Cross Border Science and Analytics at Amazon belong to?
This Applied Scientist II, Cross Border Science and Analytics position is part of the Applied Science department at Amazon. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Applied Scientist II, Cross Border Science and Analytics position at Amazon?
Click the "Apply Now" button on this page. You will be redirected to Amazon's official application portal hosted on amazonjobs where you can submit your application directly.
When was the Applied Scientist II, Cross Border Science and Analytics job at Amazon posted?
This Applied Scientist II, Cross Border Science and Analytics position at Amazon was posted on Sep 23, 2026. Apply as soon as possible — early applications are often reviewed first.
Applied Scientist II, Cross Border Science and Analytics
Amazon
You'll be redirected to Amazon's official application page on amazonjobs.