Sr. Fraud Data Science Engineer

Adobe is seeking a Senior Fraud Data Science Engineer to join their team and help protect their digital experiences through advanced fraud detection capabilities. This role combines technical expertise in machine learning with practical application in fraud prevention, making it an exciting opportunity for experienced data scientists passionate about security.

The position requires someone who can develop sophisticated machine learning models to detect and predict fraud patterns across Adobe's various platforms and products. You'll be working with large-scale datasets and implementing both supervised and unsupervised learning techniques to identify anomalies and emerging fraud trends. The role demands not just technical prowess but also strong communication skills, as you'll be collaborating with cross-functional teams and presenting insights to key stakeholders.

As a Senior Fraud Data Science Engineer, you'll be at the forefront of Adobe's fraud prevention efforts, working with cutting-edge technologies including AI agents and Large Language Models. You'll have the opportunity to automate workflows, improve operational efficiency, and develop innovative solutions to complex fraud challenges. The role offers competitive compensation ranging from $128,600 to $234,200 annually, reflecting the importance of this position in protecting Adobe's digital ecosystem.

Adobe's commitment to innovation and digital transformation makes this an ideal role for someone who wants to make a significant impact in fraud prevention while working for a global leader in digital experiences. You'll be part of a company that values creativity, embraces new ideas, and is dedicated to creating exceptional employee experiences where everyone is respected and has access to equal opportunities.

The ideal candidate will bring a combination of technical expertise in data science and machine learning, practical experience in fraud detection, and the ability to translate complex analyses into actionable insights. If you're passionate about using data science to fight fraud and want to work with a company that's changing the world through digital experiences, this role offers an excellent opportunity to advance your career while making a meaningful impact.