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, redundancy, metadata, and searchability.

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

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

• Develop a taxonomy and metadata framework that includes hierarchies, controlled vocabularies, synonyms, tagging rules, and classifications tailored to specific audiences.

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

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

• Assist in proofs of concept by assessing taxonomy and search functionalities while evaluating the quality of AI retrieval.

• Document strategies and recommendations 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 expertise in designing taxonomies and metadata models for enterprise or digital content environments.

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

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

• Knowledge of how content structure, metadata, and information architecture influence AI-powered search and knowledge retrieval.

• Strong analytical and communication abilities, with a talent for translating findings into actionable recommendations.

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

• Preferred: Master’s degree in Library and Information Science (MLIS/MISt) or an equivalent qualification in Information Science.

• Preferred: Familiarity with Genesys Cloud solutions or other contact center knowledge platforms.

• Preferred: Understanding of taxonomy and metadata standards, such as SKOS, Dublin Core, or ISO 25964.

• Preferred: Experience in government or public sector environments.

• Preferred: Bilingual proficiency in English and French.

🏝️ Benefits

• Comprehensive compensation and benefits package.

• Health insurance.

• Language courses.

• Relocation program.

• Professional development opportunities.

• Certification programs.

• Mentorship and talent investment initiatives.

• Opportunities for internal mobility.

• Internship opportunities.

• Collaboration on meaningful projects for prominent global clients.

• An inclusive and supportive workplace culture.

• Regular team-building social events.