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, 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.
Responsibilities
- 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
Requirements
- 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
Nice to have
- 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)
Benefits
- 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
- Parental leave
- Diversity and inclusion working groups
- Flexible working practices
- Equal‑opportunity employer with non‑discrimination policy
Additional details
- 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.
- 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.
- 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.
- We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
- If you have a disability or special need that requires accommodation, please do not hesitate to let us know.
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