Sonatype

Sonatype

Data Scientist

CanadaRemotePosted Today
Full TimeSeniorRemoteCA

See how this job matches your profile

Sign in for an AI-powered fit score, breakdown, and a tailored resume.

Sign in

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

Key Highlights

  • Lead applied AI projects from concept to impact — prototype, validate, and help teams deploy practical ML and GenAI solutions.
  • Act as an internal consultant across product, engineering, security, and research teams: scope problems, evaluate approaches, and advise on ML/AI best practices and productive use of generative technologies.
  • Lead the research, development, and deployment of models for use cases such as malicious behavior detection, anomaly detection, and fraud analysis — using techniques ranging from classical ML to LLMs, embeddings, retrieval-augmented generation, and agentic workflows.
  • Design robust experiments and establish evaluation pipelines for model reliability, accuracy, and business impact (cross-validation, drift monitoring, ground-truth evaluation).
  • Bridge research and production: translate research insights into scalable APIs, tools, or workflows that enable other teams to adopt AI effectively.

Qualifications

Required Qualifications

  • 5+ years of hands-on experience in applied data science, machine learning, AI engineering, or AI research.
  • Computer Science or equivalent technical degree strongly preferred
  • 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 & Technologies

JavaMachine LearningPythonGitCI/CDAWSAzureLinux

Interested in this role?

Sign in or create a free account to see how this job matches your skills, apply with one click, and let our AI tailor your resume.

Sign in to apply
AI-powered resume optimization
Save and track your applications

Job Details

Employment Type

Full Time

Experience Level

Senior

Location

Canada

Work Mode

Remote

Posted

Today

Country

CA