Join a forward-thinking team to build and enhance fraud detection models using ML, evaluating their effectiveness through rigorous analysis and insights. Collaborate with cross-functional teams to drive impactful business decisions and improve detection techniques.

Transform fraud detection through advanced ML models, deploying cutting-edge techniques in anomaly detection and risk analysis. Drive impactful outcomes from model development to real-time implementation, ensuring robust security against evolving abuse scenarios.

Lead the development of content strategy in an AI-driven landscape. Oversee governance, operating models, and measurement frameworks. Collaborate with teams to optimize workflows and enhance Adobe's content value across the marketing organization.

Shape the future of fraud detection by leveraging your expertise in data science. Collaborate across teams to develop robust models and evaluation frameworks that drive business impact and enhance detection effectiveness.

Elevate security measures for high-value products, influencing teams with actionable insights while developing a deep understanding of product architecture and risk factors. This role provides significant autonomy and impact across security initiatives.