Description

Key Skills: Machine Learning, Deep Learning, Generative AI, Large Language Models, Risk Management, Fraud Detection, Python, Data Science, Statistical Modeling, MLOps

Good to Have Skills: Experience with terabyte-scale data processing, real-time production systems, system architecture design, experimentation frameworks, model validation techniques, and cross-functional leadership in eCommerce or financial services environments.

Roles & 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

Key Skills

Education

Any Graduate