Taxonomy design and metadata modelling define this full-time Information Scientist role supporting knowledge retrieval in Genesys Cloud AI. Improve content findability for agents, users, and AI solutions.
Miratech seeks an Information Scientist focused on information architecture, taxonomy, metadata, and search optimization. You will assess knowledge content, analyze search behavior, and establish structures supporting keyword, semantic, and AI-powered retrieval. The work includes recommendations for a client content team.
Key Responsibilities:
- Analyze knowledge bases for structural gaps, duplication, and searchability
- Assess 100–200 pilot articles for quality and tagging
- Analyze search logs, behavior, and zero-result queries
- Design taxonomies, metadata models, vocabularies, and tagging rules
- Define content quality, lifecycle, review, and ownership guidelines
Requirements:
- 5+ years in information science, taxonomy, metadata, or search
- Enterprise taxonomy and metadata model design experience
- Experience improving findability and search optimization
- Experience preparing content for AI-powered retrieval
- Eligibility for Government of Canada security clearance
Apply information architecture, taxonomy, metadata, and search expertise to strengthen Genesys Cloud AI knowledge retrieval.
Information Scientist Taxonomy Design employer: Englobe
Englobe is an exceptional employer that fosters a collaborative and flexible work environment, making it an ideal place for Senior Electrical Engineers passionate about renewable energy and climate change. With a strong emphasis on mentorship and professional growth, employees are encouraged to innovate and excel in their roles while contributing to meaningful projects that have a positive impact on the environment. Located in a vibrant community, Englobe offers unique opportunities for career advancement and a supportive culture that values teamwork and creativity.
