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Data Scientist

Sonatype•Canada•🌍 Remote
Full-timeMid Level
👁️ 0 views•📝 0 applications•Posted 8/8/2026•Expires 10/7/2026
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Job Description

Sonatype is the software supply chain management company that invented componentized software development and pioneered the software supply chain category. As leaders in the open-source community and the DevSecOps industry, we run the world’s largest repository of Java open-source components—Maven Central.

Our groundbreaking, full-spectrum platform empowers customers to rapidly create, deploy, and maintain innovative software at scale, all while aligning directly to their business needs.

Trusted by more than 2,000 organizations—including 70% of the Fortune 100—and over 15 million software developers, Sonatype ’s tools and guidance help deliver exceptional, secure software.

From inventing modern artifact management with Nexus Repository to introducing the world’s only solution that halts malicious open-source malware in its tracks, we’re committed to constant innovation.

We leverage AI/ML to give our clients, developers, and the industry complete confidence in the quality, automation, and security of their software. Learn more at The Role We're looking for a Data Scientist to join our growing AI & Data Science team.

You'll operate as an internal AI consultant and technical lead, helping multiple teams across Sonatype apply machine learning and generative AI to real-world problems — from malicious-behavior and anomaly detection in our security data, to developer- and analyst-facing GenAI experiences.

You'll explore complex datasets, design experiments, build and validate models, and collaborate closely with product, engineering, and security experts to turn research ideas into practical, scalable solutions.

We have a mature data engineering team, so you can focus on doing what you do best — building and shipping models. This role is ideal for someone who thrives on autonomy, loves translating ambiguous ideas into working systems, and enjoys working across boundaries rather than staying in a single product lane.

What you'll do: Lead applied AI projects from concept to

Required Skills

machine learninggenerative AIanomaly detectiondata explorationexperiment designmodel buildingmodel validation

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