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Senior Data Scientist

52 minutes ago
Canada
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Spark CI/CD Cybersecurity Databricks Generative AI Git Hugging Face Machine Learning Microservices 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 19

Description

  • Own technical direction, architecture, priorities, and standards for applied AI and data science initiatives.
  • Lead AI projects from problem definition and experimentation through production deployment.
  • Advise product, engineering, security, research, and data teams on ML and GenAI opportunities and approaches.
  • Develop and deploy models for malicious-behavior detection, anomaly detection, fraud analysis, and related use cases.
  • Design GenAI systems using LLMs, embeddings, retrieval-augmented generation, structured outputs, tool use, and agentic workflows.
  • Establish evaluation practices covering datasets, quality metrics, cross-validation, ground truth, drift, reliability, and business impact.
  • Build scalable APIs, services, tools, and workflows that connect AI research with production products.
  • Partner with engineering and MLOps teams on deployment, observability, model lifecycle management, performance, and reliability.
  • Evaluate emerging AI technologies and recommend adoption strategies.
  • Mentor data scientists and communicate technical findings, tradeoffs, and recommendations to diverse stakeholders.

Requirements

  • 7+ 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 shipping ML or GenAI applications from prototype to production workflows.
  • Familiarity with OpenAI, Anthropic/Claude, Hugging Face, and open-weight models.
  • Experience with prompting, context management, structured outputs, retrieval, tool use, and LLM application design.
  • Experience with agentic workflows using LangGraph, LangChain, Semantic Kernel, or similar frameworks.
  • Strong evaluation, data analysis, visualization, testing, Git, code review, and collaborative development skills.
  • Preferred: MLOps, MLflow, reproducible pipelines, CI/CD, serving, monitoring, and managed ML platforms such as SageMaker or Azure ML.
  • Preferred: Experience with AI security, cybersecurity or fraud use cases, PySpark, large-scale data pipelines, technical leadership, and mentoring.

Benefits

  • Parental leave policy.
  • Paid volunteer time off.
  • Flexible working practices.
  • Diversity and inclusion working groups.
  • Equal-opportunity workplace with accommodations available for disabilities and special needs.

Interested in this position?

Apply directly on the company website

Apply Now

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