Applied Scientist I, Buyer Risk Prevention (BRP)

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Data Analysis

In short

Amazon is seeking an Applied Scientist for the Buyer Risk Prevention (BRP) team in Bengaluru, India. This role involves applying machine learning and statistical techniques to develop scalable solutions for fraud and risk challenges. You will work with large datasets, build and evaluate models, and contribute to next-generation risk prevention systems, including Generative AI and LLM technologies.

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.

Requirements

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

Desired Qualifications

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

Benefits

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.

Skills

PythonJavaC++SQLMachine LearningGenerative AILLM

#Buyer Risk Prevention#BRP#Machine Learning#Statistical Techniques#Fraud Detection#Risk Management#Generative AI#LLM

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