Senior Applied Scientist , Buyer Risk Prevention (BRP)

Amazon; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Amazon's Buyer Risk Prevention team seeks a Senior Applied Scientist to define the scientific direction of large-scale risk systems. You will lead design and deployment of advanced ML solutions, influence strategic direction, and leverage GenAI/LLMs to enhance risk evaluation across transactions.

Expect to mentor junior scientists, collaborate with business and engineering leaders, and push innovations in real-time production environments. Bengaluru-based role.

Qualifications

• 3+ years building ML models for business applications.
• PhD or Master's with extensive applied research experience.
• Proficient in Java, C++, Python and ML frameworks.

Responsibilities

• Lead end-to-end scientific strategy for large-scale fraud and risk modeling.
• Define problem statements, success metrics, and modeling roadmaps with leaders.
• Design, develop, and deploy scalable ML systems in real-time production.
• Advance GenAI/LLM-based risk evaluation and innovation.
• Influence system architecture with engineering teams for robust implementations.
• Establish experimentation, validation, monitoring, and lifecycle practices.
• Mentor junior scientists and communicate insights to senior leadership.
• Identify emerging trends and translate into production solutions.

Skills

Java

C++

Python

Deep learning

Education

PhD in a relevant field

Master's +5 years applied research

Tools

Hadoop

Spark

TensorFlow

Scikit-learn

MxNet

Job description

Description

Do you want to lead the development of advanced machine learning systems that protect millions of customers and power a trusted global eCommerce experience?

Are you passionate about modeling terabytes of data, solving highly ambiguous fraud and risk challenges, and driving step-change improvements through scientific innovation?

If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right place for you.

We are seeking a Senior Applied Scientist to define and drive the scientific direction of large-scale risk management systems that safeguard millions of transactions every day. In this role, you will lead the design and deployment of advanced machine learning solutions, influence cross-team technical strategy, and leverage emerging technologies—including Generative AI and LLMs—to build next-generation risk prevention platforms.

Key job responsibilities

• Lead the end-to-end scientific strategy for large-scale fraud and risk modeling initiatives
• Define problem statements, success metrics, and long-term modeling roadmaps in partnership with business and engineering leaders
• Design, develop, and deploy highly scalable machine learning systems in real-time production environments
• Drive innovation using advanced ML, deep learning, and GenAI/LLM technologies to automate and transform risk evaluation
• Influence system architecture and partner with engineering teams to ensure robust, scalable implementations
• Establish best practices for experimentation, model validation, monitoring, and lifecycle management
• Mentor and raise the technical bar for junior scientists through reviews, technical guidance, and thought leadership
• Communicate complex scientific insights clearly to senior leadership and cross-functional stakeholders
• Identify emerging scientific trends and translate them into impactful production solutions

Basic Qualifications

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 5+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

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.