Applied Scientist I, Buyer Risk Prevention (BRP)

Amazon Inc.; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Amazon Inc. is seeking an Applied Scientist for its Buyer Risk Prevention (BRP) team in Bengaluru. You will translate business problems into data-driven solutions, build and evaluate models, and work on next-generation risk prevention systems including GenAI and LLM applications.

You will partner with senior scientists and engineers to deploy models in production, analyze large-scale datasets, and improve risk policies with a focus on safeguarding transactions and customer trust.

Qualifications

• Experience building machine learning models or developing algorithms for business applications.
• Strong programming skills in one or more major languages (Java/C++/Python).
• Master's degree in a relevant technical field.

Responsibilities

• Apply machine learning and statistical techniques to build and improve risk management models.
• Analyze large-scale historical data to identify risk patterns and emerging trends.
• Develop, validate, and deploy innovative models under senior guidance.
• Experiment with GenAI/LLMs to enhance automation and risk evaluation.
• Collaborate with software engineers to deploy models in real-time production systems.

Skills

Programming in Java

Programming in C++

Programming in Python

Education

Master's degree (Engineering/CS/ML/OR/Statistics)

Tools

SQL

Oracle

Data Warehouse

Job description

Do you want to join an innovative team applying machine learning and advanced statistical techniques to protect Amazon customers and enable a trusted eCommerce experience?

Are you excited about working with large-scale datasets and developing models that solve real-world fraud and risk challenges?

If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right fit for you. We are seeking an Applied Scientist to help develop scalable machine learning solutions that safeguard millions of transactions every day.

In this role, you will partner with senior scientists and engineers to translate business problems into data-driven solutions, build and evaluate models, and contribute to next-generation risk prevention systems, including applications of Generative AI and LLM technologies.

Key job responsibilities

• Apply machine learning and statistical techniques to build and improve risk management models
• Analyze large-scale historical data to identify risk patterns and emerging trends
• Develop, validate, and deploy innovative models under the guidance of senior scientists
• Experiment with emerging technologies, including GenAI/LLMs, to enhance automation and risk evaluation
• Collaborate closely with software engineers to implement models in real-time production systems
• Partner with operations and business teams to improve risk policies and operational efficiency
• Build scalable, automated pipelines for data analysis, model training, and validation
• Monitor model performance and provide clear reporting on key risk and business metrics
• Research and prototype new modeling approaches to improve system performance

Basic Qualifications

• Experience programming in Java, C++, Python or related language
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
• Master's degree in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
• Experience building machine learning models or developing algorithms for business application

Preferred Qualifications

• Experience implementing algorithms using both toolkits and self-developed code
• Have publications at top-tier peer-reviewed conferences or journals

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.