Enterprise search analysis anchors this Information Scientist prospect with Miratech, where content findability supports Genesys Cloud AI knowledge retrieval. Strong analytical skills matter.

This Information Scientist position focuses on identifying relevance issues, zero-result queries, and gaps between user terminology and existing content. Miratech needs expertise in information architecture, taxonomy design, metadata modelling, and search optimization. You will assess pilot articles, analyze user behavior, and define practical requirements for keyword, semantic, and AI-powered retrieval. The position also supports proofs of concept by evaluating taxonomy, search capabilities, and AI retrieval quality.

Key Responsibilities:

Analyze search logs and user behavior for relevance issues and zero-result queries

Identify terminology gaps affecting content discovery and retrieval





Conduct baseline assessments of 100–200 pilot articles

Define keyword, semantic, and AI-powered search requirements

Evaluate taxonomy and retrieval capabilities during proofs of concept

Requirements:

Five-plus years in enterprise search, information architecture, or information science

Practical experience improving content findability through search analysis

Experience preparing content for AI-powered search or virtual agents

Strong analytical and communication skills

Eligibility for Government of Canada security clearance

Use search behavior analysis, content assessment, and AI retrieval expertise to strengthen knowledge discovery for Miratech clients.

#J-18808-Ljbffr

📌 Gestionnaire support et information H/F (Toronto)
🏢 Miratech
📍 Toronto