Enterprise Search Information Scientist

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 issuesIdentify zero-result queries and terminology gapsEvaluate 100–200 pilot articles for readability and currencyAssess taxonomy and search capabilities during proofs of conceptDocument AI retrieval recommendations and content guidelinesRequirements:
Five-plus years in enterprise search or information architecturePractical experience analyzing search behavior and findabilityExperience defining search optimization requirementsUnderstanding metadata effects on AI-powered knowledge retrievalStrong analytical and communication skillsBring enterprise search analysis, content findability, and AI retrieval expertise to Miratech's Genesys Cloud AI work.
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