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About the Role

We are seeking a Senior Data Scientist to join our AI & Data Science team. This role will provide technical leadership across high-impact AI initiatives, partnering with various teams to identify opportunities, define approaches, and develop practical AI solutions. You will explore data, design experiments, build models, and guide solutions into production, working on use cases ranging from malicious-behavior and anomaly detection to GenAI experiences involving LLMs.

Responsibilities

Provide technical ownership for applied AI and data science initiatives, helping define approaches, architecture, priorities, and standards.
Lead complex AI projects from concept to production, translating ambiguous problems into measurable experiments and scalable solutions.
Act as a senior internal AI consultant to product, engineering, security, and research teams.
Lead the research, development, and deployment of models for malicious behavior detection, anomaly detection, fraud analysis, and other security and product use cases.
Design and guide advanced GenAI solutions using LLMs, embeddings, retrieval-augmented generation, structured outputs, tool use, and agentic or multi-step workflows.
Establish strong experimentation and evaluation practices, including representative evaluation datasets, quality metrics, cross-validation, ground-truth evaluation, drift monitoring, and business-impact measurement.
Set technical direction for reliable and maintainable AI systems, balancing experimentation with production quality, security, scalability, and responsible AI practices.
Bridge research and production by designing scalable APIs, services, tools, and workflows.
Evaluate emerging AI technologies and frameworks and make recommendations on adoption.
Partner closely with engineering and MLOps teams on deployment, observability, model lifecycle management, performance, and reliability.
Mentor data scientists and other technical contributors, review technical approaches, and help elevate AI engineering and data science practices.
Communicate AI strategy, technical tradeoffs, experimental findings, and recommendations clearly to technical and non-technical stakeholders.
Partner with data governance, security, and legal stakeholders to ensure appropriate privacy, security, ethical, and responsible-AI practices.

Requirements

7+ years of hands-on experience in applied data science, machine learning, AI engineering, or AI research.
Strong Python skills and practical experience with data and AI libraries/platforms such as Databricks, and LLM APIs, scikit-learn.
Experience building and shipping ML or GenAI applications—from early prototype through usable internal or customer-facing workflows.
Deep familiarity with modern LLM ecosystems, including OpenAI, Anthropic/Claude, Hugging Face, and open-weight models.
Ability to select models and design effective LLM applications using prompting, context management, structured outputs, retrieval, and tool use.
Experience building agentic or multi-step AI workflows with LangGraph, LangChain, Semantic Kernel, or similar orchestration frameworks.
Strong evaluation mindset: defining useful quality metrics, building representative evaluation datasets, assessing reliability, and making data-driven tradeoffs.
Comfortable working with large, messy, structured, and unstructured data to produce features, insights, and clear visualizations.
Proficiency with Git, testing, code review, and collaborative software-development practices.
Practical, balanced judgment: comfortable exploring emerging AI capabilities while building maintainable, secure, dependable systems.
Proactive and accountable, with strong written and verbal communication skills across technical and non-technical partners.

Skills

Machine Learning
Generative AI
Python
Databricks
LLM APIs
scikit-learn
OpenAI
Anthropic/Claude
Hugging Face
Open-weight models
Prompting
Context Management
Structured Outputs
Retrieval
Tool Use
LangGraph
LangChain
Semantic Kernel
Git
Testing
Code Review
Collaborative Software Development
MLOps
MLflow
AWS SageMaker
Azure ML
PySpark

Location

Remote

Work Type

Full-time

Experience Level

Senior
7+ years

Education Level

Computer Science or equivalent technical degree strongly preferred

Benefits

Parental Leave Policy
Paid Volunteer Time Off (VTO)

About the Company

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 www.sonatype.com

Equal Opportunity

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.