Information Scientist

This is a fully remote position, open to applicants in Canada.

📋 Description

• Evaluate the current knowledge base to pinpoint deficiencies in content structure, consistency, duplication, metadata, and searchability.

• Perform a baseline evaluation of 100–200 pilot articles regarding content quality, accuracy, currency, readability, and tagging practices.

• Examine search logs and user interactions to uncover issues related to search relevance, zero-result queries, and terminology gaps.

• Create taxonomy and metadata models, encompassing hierarchies, controlled vocabularies, synonyms, tagging rules, and classifications tailored for specific audiences.

• Establish guidelines for content structuring and search optimization requirements focusing on keywords, semantics, and AI-driven knowledge retrieval.

• Set content quality standards, lifecycle rules, review processes, and ownership protocols in collaboration with the Senior PS Consultant.

• Assist in proofs of concept by assessing taxonomy and search functionalities, evaluating AI retrieval quality, and documenting recommendations and guidelines for the client's content team.

⛳️ Requirements

• Over 5 years of experience in information science, taxonomy design, metadata modeling, information architecture, or enterprise search.

• Proven track record in designing taxonomies and metadata models for enterprise or digital content settings.

• Hands-on experience in analyzing search behavior, enhancing content findability, and defining requirements for search optimization.

• Experience in structuring or preparing content for AI-driven search, knowledge retrieval, or virtual agents.

• Understanding of the impact of content structure, metadata, and information architecture on AI-powered search and knowledge retrieval.

• Excellent analytical and communication skills, with the capacity to convert findings into actionable recommendations.

• Must be eligible to obtain and maintain a Government of Canada security clearance.

• A Master's degree in Library and Information Science (MLIS/MISt) or a similar qualification in Information Science is preferred.

• Familiarity with Genesys Cloud solutions or other contact center knowledge platforms is an asset.

• Knowledge of taxonomy and metadata standards, such as SKOS, Dublin Core, or ISO 25964, is advantageous.

• Experience in government or public sector roles is a bonus.

• Bilingual proficiency in English and French is preferred.

🏝️ Benefits

• Comprehensive compensation and benefits package.

• Health insurance.

• Language courses.

• Relocation program.

• Opportunities for professional development.

• Certification programs.

• Mentorship and talent investment initiatives.

• Internal mobility opportunities.

• Internship opportunities.

• Collaboration on impactful projects for leading global clients.

• An inclusive and supportive work environment.

• Regular team-building social events.