Improve enterprise search relevance by analyzing user behavior, zero-result queries, and content gaps for Genesys Cloud AI at Miratech. This role focuses on retrieval accuracy.
As an Information Scientist, you will evaluate how knowledge content serves agents, self-service users, and AI-powered solutions. Responsibilities span search-log analysis, baseline article assessments, taxonomy design, and metadata modelling. You will translate findings into practical recommendations for client content teams and support proofs of concept.
Key Responsibilities: Analyze search logs and user behavior for relevance issues
Identify zero-result queries and terminology gaps
Evaluate 100–200 pilot articles for readability and currency




Assess taxonomy and search capabilities during proofs of concept
Document AI retrieval recommendations and content guidelines
Requirements: Five-plus years in enterprise search or information architecture
Practical experience analyzing search behavior and findability
Experience defining search optimization requirements
Understanding metadata effects on AI-powered knowledge retrieval
Solid analytical and communication skills
Bring enterprise search analysis, content findability, and AI retrieval expertise to Miratech's Genesys Cloud AI work.

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📌 Enterprise Search Information Scientist (Alberta)
🏢 Miratech
📍 Alberta