Senior Applied Scientist - Real-Time Fraud Risk ML

Amazon; Asti; Ibrido; EUR 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

Amazon Buyers Risk Prevention (BRP) is seeking a Senior Applied Scientist to shape the science roadmap for large-scale fraud and risk systems. You will lead end-to-end ML design, deploy real-time models, and collaborate with business and engineering teams to protect millions of transactions daily.

You will drive innovation with deep learning and GenAI, mentor junior scientists, and help set the technical strategy across cross-functional partners.

Competenze

• 3+ years of building ML models for business applications.
• 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.

Mansioni

• 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.

Conoscenze

3+ years M L

Java/C++/Python

Deep learning

Formazione

PhD or MSc +5 years research

Strumenti

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Descrizione del lavoro

Amazon Buyers Risk Prevention (BRP) is seeking a Senior Applied Scientist to shape the science roadmap for large-scale fraud and risk systems. You will lead end-to-end ML design, deploy real-time models, and collaborate with business and engineering teams to protect millions of transactions daily.

You will drive innovation with deep learning and GenAI, mentor junior scientists, and help set the technical strategy across cross-functional partners.