Information Scientist

Miratech

9d

About The Position

Miratech is seeking an Information Scientist to design and improve the information architecture needed for effective knowledge retrieval in Genesys Cloud AI. The role focuses on taxonomy design, metadata modelling, content structure, and search optimization so knowledge content can be accurately found and retrieved by customer service agents, self-service users, and AI-powered solutions. The Information Scientist will assess existing knowledge content and search behavior, define taxonomy and content standards, and support proofs of concept by evaluating search and AI retrieval capabilities. The role works in collaboration with the Senior PS Consultant and the client's content team.

Requirements

• At least 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 Haves

• Master's degree in Library and Information Science (MLIS/MISt) or an equivalent qualification in Information Science.
• Experience with Genesys Cloud solutions or other contact centre knowledge platforms.
• Knowledge of taxonomy and metadata standards such as SKOS, Dublin Core, or ISO 25964.
• Government or public sector experience.
• Bilingual English/French proficiency.

Responsibilities

• Analyze the existing knowledge base for gaps in content structure, consistency, duplication, metadata, and searchability.
• Conduct a baseline assessment of 100–200 pilot articles, evaluating content quality, accuracy, currency, readability, and tagging practices.
• Analyze search logs and user behavior to identify search relevance issues, zero-result queries, and gaps between user terminology and existing content.
• 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 to support accurate keyword, semantic, and AI-powered knowledge retrieval.
• Establish content quality standards, lifecycle rules, review processes, and ownership guidelines in collaboration with the Senior PS Consultant.
• Support proofs of concept by evaluating taxonomy and search capabilities, assessing AI retrieval quality, and documenting recommendations and guidelines for the client's content team.

Benefits

• Comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program.
• Professional development opportunities, including certification programs, mentorship and talent investment programs, and internal mobility and internship opportunities.
• Opportunity to collaborate on impactful projects for top global clients.
• Inclusive and supportive multicultural work environment with open communication and regular team-building company social events.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed