Information Scientist
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Job Description
Information Scientist designing taxonomies, metadata models, and search optimization for Genesys Cloud AI. Supporting knowledge retrieval and content architecture for Miratech’s enterprise clients.
Responsibilities:
- Analyze the existing knowledge base to identify gaps in content structure, consistency, duplication, metadata, and searchability
- Conduct a baseline assessment of 100–200 pilot articles for content quality, accuracy, currency, readability, and tagging practices
- Analyze search logs and user behavior to identify search relevance issues, zero-result queries, and terminology gaps
- Design a taxonomy and metadata model, including hierarchies, controlled vocabularies, synonyms, tagging rules, and audience-specific content classification
- Define content structuring guidelines and search optimization requirements for keyword, semantic, and AI-powered knowledge retrieval
- Establish content quality standards, lifecycle rules, review processes, and ownership guidelines with the Senior PS Consultant
- Support proofs of concept by evaluating taxonomy and search capabilities and assessing AI retrieval quality
- Document recommendations and guidelines for the client's content team
Requirements:
- 5+ years of experience in information science, taxonomy design, metadata modelling, information architecture, or enterprise search
- Demonstrated experience designing taxonomies and metadata models for enterprise or digital content environments
- Practical experience analyzing search behavior, improving content findability, and defining search optimization requirements
- Experience structuring or preparing content for AI-powered search, knowledge retrieval, or virtual agents
- Understanding of how content structure, metadata, and information architecture affect AI-powered search and knowledge retrieval
- Strong analytical and communication skills, with the ability to translate findings into practical recommendations
- Eligibility to obtain and maintain a Government of Canada security clearance
- Nice to have: Master's degree in Library and Information Science (MLIS/MISt) or an equivalent qualification in Information Science
- Nice to have: Experience with Genesys Cloud solutions or other contact centre knowledge platforms
- Nice to have: Knowledge of taxonomy and metadata standards, such as SKOS, Dublin Core, or ISO 25964
- Nice to have: Government or public sector experience
- Nice to have: Bilingual English/French proficiency
Benefits:
- Comprehensive compensation and benefits package
- Health insurance
- Language courses
- Relocation program
- Professional development opportunities
- Certification programs
- Mentorship and talent investment programs
- Internal mobility opportunities
- Internship opportunities
- Collaboration on impactful projects for top global clients
- Inclusive and supportive work environment
- Regular team-building company social events
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