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
- Robust analytical and communication skills

Bring enterprise search analysis, content findability, and AI retrieval expertise to Miratech's Genesys Cloud AI work.

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