Library Scientist

This is a fully remote position, open to applicants in Canada.

📋 Description

• Evaluate the existing knowledge base content and its structure, assessing factors such as volume, format, ownership, age, duplication, structural consistency, and tagging practices.

• Document the current structural issues that hinder findability.

• Perform a baseline content analysis on 100–200 pilot articles, producing scored findings and a remediation profile.

• Analyze search logs and user search behavior, including query volume, popular queries, zero-result and low-result queries, abandonment rates, refinement patterns, and vocabulary gaps.

• Develop a taxonomy blueprint for AI retrieval that encompasses hierarchy, facets, controlled vocabularies, synonym rings, and rules for placement and relationships.

• Validate the taxonomy with subject matter experts from various business lines and real user queries.

• Organize content for machine consumption by defining article granularity, chunking, heading structures, answer-first writing styles, and disambiguation rules.

• Define the metadata schema, including value sets, inheritance rules, audience and jurisdiction markers, lifecycle and review-date fields, and tagging conventions.

• Specify and test configurations for keyword and semantic search, including relevance tuning, handling of synonyms and acronyms, stemming, boosting, and presentation of results.

• Establish baseline measures for search performance, target improvements, and evaluation metrics for AI answer quality.

• Set content governance standards, define lifecycle and review cadence, ownership, and criteria for publication quality.

• Collaborate with the Senior Business Consultant to align the Governance Playbook with the taxonomy.

• Participate in proofs of concept and test the tagging, faceted search, multi-audience content, and accuracy and attribution of AI retrieval in Genesys Cloud.

• Document the model for the client’s content team and lead knowledge-transfer working sessions.

⛳️ Requirements

• A Master's degree in Library and Information Science (MLIS/MISt) or an equivalent qualification in information science; this is a genuine requirement.

• Over 5 years of experience applying information science in an enterprise or digital context, encompassing taxonomy design, metadata modeling, controlled vocabularies, information architecture, or enterprise search.

• Proven experience in designing and implementing a taxonomy and metadata model for a production content environment, with demonstrable examples of deliverables.

• Practical experience in analyzing enterprise search behavior, including search logs, diagnosing zero-result issues, relevance failures, and tuning search configurations.

• Familiarity with taxonomy and metadata standards, such as SKOS, Dublin Core, ISO 25964, and schema.org.

• Understanding of the impact of information architecture on the quality of AI and natural-language retrieval.

• Capability to conduct structured, scored article-level content analyses and clearly report findings to a non-specialist audience.

• Eligibility to obtain and maintain a Government of Canada security clearance.

• Preferred: hands-on experience with the Genesys Cloud knowledge base and authoring/optimization tools, or similar platforms like Salesforce Knowledge, ServiceNow Knowledge Management, or Zendesk Guide.

• Preferred: experience preparing content corpora for AI, retrieval-augmented generation, or virtual agent consumption.

• Preferred: experience in establishing quality evaluations for AI answers.

• Preferred: background in government, public sector, or academic libraries, including knowledge of plain-language standards, WCAG accessibility requirements, and records management obligations.

• Preferred: bilingual in English and French, including skills in bilingual taxonomy and parallel content-set management.

• Preferred: experience with the KCS (Knowledge-Centered Service) methodology.

🏝️ Benefits

• Comprehensive compensation and benefits package.

• Health insurance.

• Language courses.

• Relocation program.

• Opportunities for professional development.

• Access to certification programs.

• Mentorship and investment in talent development.

• Internal mobility opportunities.

• Internship opportunities.

• Collaborate on impactful projects for leading global clients.

• Inclusive and supportive work environment with open communication.

• Regular team-building social events.

• Commitment to sustainable business practices, focusing on IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.