Senior Applied Scientist , Buyer Risk Prevention (BRP)

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 Masters 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

• 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 youre applying in isnt listed, please contact your Recruiting Partner.

Company - ADCI - BLR 14 SEZ

Job ID: A10435790