Senior Applied Scientist

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7u1xe2

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 degr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7u1xe2