Senior Data Scientist

Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale. As founders of Nexus Repository and stewards of Maven Central, the world’s largest repository of Java open-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development. More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains. \n

Who We Are Sonatype is the software supply chain security company. We deliver the industry’s most complete solution for securing the modern software development lifecycle—from open source intake to production deployment. With tools that proactively detect malicious packages, manage SBOMs at scale, and optimize open source usage, we empower developers to build faster and safer software As the creators of Nexus Repository and stewards of Maven Central, we’ve shaped how developers consume open source for over a decade. Today, more than 15 million developers and 2,000 organizations—including 70% of the Fortune 100—rely on Sonatype to secure and scale their software supply chains. The Opportunity We’re looking for a Senior Data Scientist to join our growing AI & Data Science team. You’ll lead the development of cutting-edge machine learning models to detect malicious behavior, surface anomalies, and enhance security posture across our platform. You ’ll work with massive, complex datasets collected from millions of software components and behavioral signals. In this role, you’ll have significant autonomy to explore novel ML and generative AI approaches—and be part of a deeply collaborative cross-functional team alongside data engineers, product managers, and security experts. What You’ll Do Own the end-to-end development of machine learning models, from research and prototyping through deployment and monitoring Explore and apply generative techniques (e.g., GANs, VAEs, LLMs) for fraud detection, anomaly detection, and behavioral analysis Design and implement experiments to evaluate model performance, reliability, and generalization Partner with data engineers to build scalable pipelines for data collection, preprocessing, and feature engineering Conduct exploratory data analysis and statistical modeling to extract insights from structured and unstructured data Work closely with product and domain experts to frame problems, translate