Information Scientist
Core
Design and improve information architecture, taxonomy, and metadata models for Genesys Cloud AI to enable accurate knowledge retrieval for customer service agents, self-service users, and AI solutions.
Role type
Information Scientist (Taxonomy & Metadata Specialist)
Builds
Taxonomies, metadata models, content structuring guidelines, and search optimization requirements for Genesys Cloud AI.
Domain
Enterprise Search & Knowledge Management
Deliverable
production ML models
Required skills
Taxonomy design, metadata modelling, information architecture, search log analysis, content quality assessment, AI-powered search understanding, search optimization, controlled vocabularies, semantic search
Preferred skills
SKOS, Dublin Core, ISO 25964, Genesys Cloud solutions, public sector experience, bilingual English/French
Technologies
Genesys Cloud AI, SKOS, Dublin Core, ISO 25964
Responsibilities
Analyze knowledge base gaps in structure, consistency, and metadata; assess pilot articles for quality and tagging; analyze search logs to identify relevance issues; design taxonomy and metadata models; define content structuring and search optimization guidelines; establish content quality standards and lifecycle rules; support PoCs for AI retrieval quality.
Seniority
Mid-Senior, hands-on IC