Applied Scientist II, Cross Border Science and Analytics

Amazon Inc.; Bengaluru; On-site; INR 1,800,000 - 2,300,000; Full time

Job summary

Amazon Inc. in Bengaluru, India, is seeking an Applied Scientist II for Cross Border Science and Analytics.

You will design, develop, and deploy ML models and algorithms that improve the cross-border shopping experience for millions of Amazon customers across 20+ countries. You will work on challenging problems—from improving search relevance across languages to building ML-powered pricing and recommendations—and collaborate with product, engineering, and business teams to take science from

Qualifications

• PhD or Master's degree in a quantitative field.
• 3+ years of experience building models for business applications.
• Experience in patents or publications at top-tier conferences/journals.
• Experience programming in Java, C++, Python or related language.
• Familiarity with algorithms, data structures, parsing, numerical optimization, data mining, and distributed computing.

Responsibilities

• Design, develop, and deploy ML models and algorithms for cross-border shopping.
• Analyze large-scale data to identify patterns and measure model impact.
• Collaborate with product, engineering, and business teams and publish research.

Skills

Java

C++

Python

Algorithms

Data mining

Education

PhD

Master's degree

Tools

Hadoop/Spark

Linux/Unix

SQL

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.