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.
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 requirements, and identify impactful opportunities
Stay current on research advancements and assess how emerging methods (e.g., LangChain, HuggingFace models) can improve our platform
Present findings clearly to stakeholders—both technical and non-technical—and drive data-driven decision making
Mentor junior team members and contribute to the technical growth of the data science function
What We’re Looking For
Minimum Qualifications
8+ years of experience in applied data science, machine learning, or AI research
Strong foundation in computer science, mathematics, or a quantitative discipline
Deep experience in generative modeling, deep learning architectures, and anomaly detection
Strong Python skills and proficiency with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)Proven success developing models in production settings with large-scale or noisy data
Strong grasp of evaluation metrics, cross-validation, and best practices for building trustworthy models
Hands-on experience with Jupyter or Databricks notebooks
Excellent problem-solving and communication skills, with the ability to simplify complexity
Bonus Points
Familiarity with fraud detection systems or behavioral analytics in a cybersecurity context
Experience with Databricks, AWS (e.g., S3, EMR, SageMaker), and cloud-native data environments
Exposure to tools like MLflow, HuggingFace Transformers, LangChain, and PySpark
Experience collaborating with data engineering teams working in Java/Scala
Git proficiency and comfort with collaborative workflows (GitHub preferred)
Why You’ll Love Working Here
Autonomy + Impact: Lead innovative AI work that directly secures millions of developers
Modern Stack: Work with top-tier tools like Databricks, HuggingFace, and AWS SageMaker
Collaborative Culture: Join a team that values trust, ownership, and continuous learning
At Sonatype, we value diversity and inclusivity. We offer perks such as parental leave, diversity and inclusion working groups, and flexible working practices to allow our employees to show up as their whole selves. We are an equal-opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please do not hesitate to let us know.
