Applied Scientist II, Cross Border Science and Analytics

Amazon Inc.; Bengaluru; On-site; INR 5,000,000 - 7,000,000; Full time

Job summary

Amazon in Bengaluru is seeking an Applied Scientist II for cross-border science and analytics. You will design, develop, and deploy ML models and algorithms that improve cross-border product discovery, pricing, and recommendations for millions of customers worldwide.

In this hands-on, high-visibility role you will publish research, collaborate with product managers and engineers, own end-to-end model lifecycle, and contribute to scalable ML pipelines and production systems.

Qualifications

• 3+ years of building models for business applications.
• 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.

Responsibilities

• 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.
• Write production-quality code (Python, Java/Scala) and deploy models into real-time and batch inference pipelines.

Skills

Java

C++

Python

Algorithms

Data mining

High-performance computing

Education

Master's degree

PhD

Tools

Unix/Linux

Job description

Applied Scientist II, Cross Border Science and Analytics

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.

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.