Opens an external site
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Minimum education
- Master’s degree
- Posting language
- English
- Working hours
- 40 hours per week
Job summary
The Library Scientist is responsible for designing the information architecture, taxonomy, and metadata models that power AI knowledge surfacing and virtual agents. They will analyze content inventories, search logs, and user behavior to ensure high-quality, machine-retrievable knowledge bases.
Job details
Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization, and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for an Information Scientist to design and improve the information architecture required for effective knowledge retrieval in Genesys Cloud AI. The role focuses on taxonomy design, metadata modelling, content structure, and search optimization to ensure that knowledge content can be accurately found and retrieved by customer service agents, self-service users, and AI-powered solutions. Responsibilities Analyzing the existing knowledge base to identify gaps in content structure, consistency, duplication, metadata, and searchability. Conducting a baseline assessment of 100–200 pilot articles to evaluate content quality, accuracy, currency, readability, and tagging practices. Analyzing search logs and user behavior to identify search relevance issues, zero-result queries, and gaps between user terminology and existing content. Designing a taxonomy and metadata model, including hierarchies, controlled vocabularies, synonyms, tagging rules, and audience-specific content classification. Defining content structuring guidelines and search optimization requirements to support accurate keyword, semantic, and AI-powered knowledge retrieval. Establishing content quality standards, lifecycle rules, review processes, and ownership guidelines in collaboration with the Senior PS Consultant. Supporting proofs of concept (PoCs) by evaluating taxonomy and search capabilities, assessing AI retrieval quality, and documenting recommendations and guidelines for the client's content team. Qualifications 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. 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. Additional Information We offer: Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.
What you’ll do
The Library Scientist is responsible for designing the information architecture, taxonomy, and metadata models that power AI knowledge surfacing and virtual agents. They will analyze content inventories, search logs, and user behavior to ensure high-quality, machine-retrievable knowledge bases.
Requirements
Candidates must hold a Master of Library and Information Science (MLIS/MISt) or equivalent and possess at least 5 years of experience in information science and taxonomy design. Proficiency in metadata standards and the ability to obtain a Government of Canada security clearance are required.
Benefits
- Health insurance
- Language courses
- Relocation program
- Professional development opportunities
- Mentorship programs
- Talent investment programs
- Internal mobility
- Internship opportunities
- Team-building events
Listed skills
- Technical Documentation · Preferred
- Data analysis · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Taxonomy design
- Metadata modelling
- Information architecture
- Enterprise search
- Content analysis
- Search behaviour analysis
- Knowledge management
- AI knowledge surfacing
- Controlled vocabularies
- Semantic retrieval
- Content governance
- Data analysis
- Technical documentation
- Genesys Cloud
- Natural language processing
- Knowledge Transfer
- IT Service Management
- Mentorship
- Self Service Technologies
- Communication
- Security Clearance
- Governance
- Tooling
- Knowledge Base
- Innovation
- ServiceNow
- Writing
- Consulting
- Revenue Growth
- Salesforce
- Empowerment
- Team Building
- Technical Validation
- Call Center Experience
- Digital Transformation
- Growth Mindedness
- Environmental Sustainability
- Blueprinting
- Multilingualism
- Information Architecture
- Knowledge Management
- Management Consulting
- Bilingual (French/English)
- Taxonomy
- Research And Development
- Failure Causes
- Retrieval Augmented Generation
- Metadata
- Vocabulary
- Genesys
Job areas
- Technology
- Software
- Data & Analytics
- Consulting
- Government & Public Sector
- Professor of Library Science
- Computer Scientist
- Systems Analysts
- Computer and Information Research Scientists
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