Information Scientist

Miratech

. Analyze the existing knowledge base to identify gaps in content structure, consistency, duplication, metadata, and searchability .

Posted 10/26/2026full-timeRemote • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in taxonomy design, metadata modeling, and information architecture is essential for optimizing AI-powered search and knowledge retrieval. Strong analytical skills and the ability to translate complex findings into actionable recommendations are critical for enhancing content findability and quality.

Highest-signal resume keywords

Taxonomy DesignMetadata ModelingInformation ArchitectureSearch OptimizationContent Quality Assessment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Content StructuringSearch Behavior AnalysisAI-Powered Search PreparationContent Quality StandardsControlled Vocabularies

Soft Skills

Analytical SkillsCommunication Skills

Tools & Technologies

Genesys Cloud SolutionsContact Centre Knowledge Platforms

Certifications & Qualifications

Master's Degree in Library and Information ScienceGovernment of Canada Security Clearance

Industry Keywords

SKOSDublin CoreISO 25964Public Sector ExperienceBilingual English/French

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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 taxonomy and metadata models, 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, assessing AI retrieval quality, and documenting recommendations and guidelines for the client's content team

Requirements

What you’ll need

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

Benefits

Comp & perks

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