Sr. Fraud Data Science Engineer

Adobe is seeking a Sr. Fraud Data Science Engineer to join their team and help detect and prevent fraud across their platforms. This role combines technical expertise in machine learning with practical fraud detection applications.

The position requires an advanced degree holder or equivalent experienced professional with strong background in data science and machine learning. You'll be working at the intersection of fraud prevention and cutting-edge ML technologies, developing models to identify both existing and emerging fraud patterns.

Key responsibilities include building and deploying machine learning models for fraud detection, automating fraud review workflows, and providing data-driven insights to stakeholders. You'll need to be proficient in Python, SQL, and have experience with big data technologies.

The ideal candidate brings 6+ years of experience in data science with a focus on fraud detection or risk management. You should be well-versed in both supervised and unsupervised learning techniques, with strong skills in data visualization and communication.

This role offers an opportunity to make a significant impact on Adobe's fraud prevention capabilities while working with advanced technologies including AI agents and LLMs. You'll collaborate across teams to drive fraud detection strategies and deliver tangible business value.

The position offers competitive compensation ranging from $127,300 to $229,300 annually, based on location and experience. Adobe provides a comprehensive benefits package and values diversity and inclusion in their workplace.

Join Adobe's mission to change the world through digital experiences while helping protect the company and its customers from fraud. This role combines technical depth with practical business impact, offering a chance to work on challenging problems with meaningful outcomes.