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Data Scientist
Data ScientistFujitsu • Ottawa, ON, CA
Data Scientist

Data Scientist

Fujitsu • Ottawa, ON, CA
30+ days ago
Job type
  • Permanent
Job description

3 days ago Be among the first 25 applicants

Job Description

Fujitsu Canada is seeking a full‑time, permanent Data Scientist to support enterprise‑scale Knowledge Management (KM) modernization projects. This role focuses on AI / ML / NLP development, semantic enrichment, and data transformation in hybrid environments, contributing to the delivery of intelligent, scalable KM solutions.

Required Skills

  • Master’s degree in Data Science, Artificial Intelligence, Machine Learning, or Computational Linguistics.
  • Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, Pandas, and lxml.
  • Experience with supervised, unsupervised, and reinforcement learning models.
  • Expertise in NLP techniques including tokenization, entity recognition, topic modeling, and semantic search.
  • Experience with knowledge graphs and semantic enrichment.
  • Strong understanding of XML structure, namespaces, and DOM manipulation.
  • Experience with relational databases (PostgreSQL, Oracle, SQL Server) and normalized schema design.
  • Familiarity with Git for version control and collaboration.
  • Experience with Azure Cognitive Services and DevOps pipelines.
  • Bilingual proficiency (English / French) for content handling and stakeholder engagement.
  • Experience in regulated or public sector environments.

Responsibilities

  • Design and implement AI / ML models for semantic search, contradiction detection, and content rewriting.
  • Build and query knowledge graphs using RDF, SPARQL, and ontology design.
  • Develop and optimize XSLT stylesheets and XPath expressions for XML transformation.
  • Author and manage structured content using DITA XML and document‑as‑code principles.
  • Design and execute Extract, Transform, Load (ETL) workflows using Python and tools like Talend or Apache NiFi.
  • Conduct data lineage and metadata management to ensure traceability and integrity.
  • Collaborate with cross‑functional teams including architects, linguists, and content authors.
  • Support iterative development cycles, rapid prototyping, and continuous integration.
  • Integrate AI frameworks with SharePoint Online, Microsoft 365, and workflow automation tools.
  • Handle bilingual datasets and merge English / French content into unified knowledge articles.
  • Nice to Have Skills

  • Familiarity with LLMs (e.g., GPT‑4, Claude) for content generation and summarization.
  • Experience with FAISS or Pinecone for semantic clustering.
  • Exposure to FrameNet and other linguistic resources for semantic understanding.
  • Experience with shell scripting, Typescript, Scala, or R.
  • Use of Power BI, Tableau, or Quicksight for post‑migration analytics.
  • Understanding of bias mitigation, explainability, and responsible AI practices.
  • Experience with contradiction detection and semantic validation.
  • Familiarity with document chunking for retrieval‑augmented generation (RAG).
  • General Requirements

  • Must reside in the Gatineau area in Quebec.
  • Hybrid work arrangement—onsite at least three days per week, with additional days as needed.
  • Strong organizational and time management skills.
  • Commitment to quality and attention to detail.
  • Ability to work independently and collaboratively.
  • Willingness to learn new tools and technologies.
  • Eligibility for Reliability Security status; minimum five years’ residency in Canada.
  • Experience working in a multicultural or multilingual environment.
  • Familiarity with agile or other modern project management methodologies.
  • Previous experience in a remote or hybrid work setting.
  • Seniority Level

    Mid‑Senior level

    Employment Type

    Full‑time

    Job Function

    Information Technology

    Industries

    Information Services, IT Services and IT Consulting, and Software Development

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