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Data Scientist

1 month, 1 week ago
Canada
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Spark CI/CD Cybersecurity Databricks Git Hugging Face LLM MLflow MLOps Python SageMaker Scikit-learn
Apply Now
Sonatype

Sonatype

Sonatype provides secure software development solutions by leveraging open source and artificial intelligence, ensuring that organizations can build applications quickly and safely through automated governance, policy enforcement, and comprehensive mon...

Internet Software & Services
51-250
Founded 2008
$155M raised
View All Jobs 16

Description

  • Lead applied AI projects from concept through prototype, validation, and deployment.
  • Act as an internal consultant for product, engineering, security, and research teams on ML/AI approaches.
  • Develop models for malicious behavior detection, anomaly detection, and fraud analysis.
  • Design experiments and evaluation pipelines to measure model reliability, accuracy, and business impact.
  • Translate research findings into scalable APIs, tools, or workflows.
  • Explore and apply LLMs, embeddings, retrieval-augmented generation, and agentic workflows.
  • Communicate technical recommendations clearly to technical and non-technical stakeholders.
  • Mentor peers and help improve the organization’s AI literacy and capabilities.
  • Partner with data governance to support privacy compliance and ethical use of customer data.

Requirements

  • 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 experience with tools such as Databricks, LLM APIs, and scikit-learn.
  • Experience building and shipping ML or GenAI applications from prototype to usable workflows.
  • Deep familiarity with LLM ecosystems including OpenAI, Anthropic/Claude, Hugging Face, and open-weight models.
  • Ability to design LLM applications using prompting, context management, structured outputs, retrieval, and tool use.
  • Experience with agentic or multi-step AI workflows using LangGraph, LangChain, Semantic Kernel, or similar frameworks.
  • Strong evaluation mindset with experience defining metrics, building evaluation datasets, and assessing reliability.
  • Comfort working with large, messy, structured, and unstructured data.
  • Proficiency with Git, testing, code review, and collaborative software development practices.
  • Strong written and verbal communication skills across technical and non-technical partners.
  • MLOps experience with MLflow or similar tooling, CI/CD, serving, monitoring, and reproducible pipelines (preferred).
  • Experience operating ML or GenAI systems at scale, including observability, tracing, incident response, and drift detection (preferred).
  • Experience with Databricks ML, AWS SageMaker, Azure ML, or similar managed ML platforms (preferred).
  • Familiarity with MCP, agent-tool integrations, LLM guardrails, and production safety practices (preferred).
  • Experience with AI-assisted development tools such as Copilot, Claude Code, or Codex (preferred).
  • Exposure to cybersecurity, fraud detection, anomaly detection, code analysis, or software supply-chain security (preferred).
  • Experience with PySpark and production data pipelines (preferred).
  • Experience working in a software product company or SaaS environment (preferred).

Benefits

  • Competitive perks including parental leave.
  • Paid Volunteer Time Off (VTO).
  • Diversity and inclusion working groups.
  • Flexible working practices.
  • Equal-opportunity employer with workplace accommodations available.
  • Recognition for innovation and industry leadership.

Interested in this position?

Apply directly on the company website

Apply Now

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