Data Scientist

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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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