Senior Simulation Scientist building Workbench’s warehouse simulation engine for Fulfillment IQ, a supply chain engineering company. Leading zero - to - one modeling, product integration, and simulation team growth.
About the role
- Library Scientist designing AI-ready taxonomies, metadata, and search models for Miratech’s global IT consulting clients. Improving Genesys Cloud knowledge retrieval and content governance.
Responsibilities
- Analyse the current knowledge base content and structure, including volume, format, ownership, age, duplication, structural consistency, and tagging practice
- Document current-state structural problems suppressing findability
- Conduct a baseline content analysis of 100–200 pilot articles and produce scored findings and a remediation profile
- Analyse search logs and agent/self-service search behaviour, including query volume, top queries, zero-result and low-result queries, abandonment, refinement patterns, and vocabulary gaps
- Build a taxonomy blueprint for AI retrieval, including hierarchy, facets, controlled vocabularies, synonym rings, and placement and relationship rules
- Validate the taxonomy with business-line subject matter experts and real queries
- Structure content for machine consumption by defining article granularity, chunking, heading structure, answer-first writing patterns, and disambiguation rules
- Define the metadata schema, value sets, inheritance rules, audience and jurisdiction markers, lifecycle and review-date fields, and tagging conventions
- Specify and test keyword and semantic search configuration, including relevance tuning, synonym and acronym handling, stemming, boosting, and result presentation
- Establish baseline search-performance measures, target improvements, and AI answer-quality evaluation measures
- Establish content governance standards, lifecycle and review cadence, ownership, and publication quality criteria
- Work with the Senior Business Consultant to align the Governance Playbook and taxonomy
- Attend proofs of concept and test Genesys Cloud tagging, faceted search, multi-audience content, and AI retrieval accuracy and attribution
- Document the model for the client’s content team and run knowledge-transfer working sessions
Requirements
- Master of Library and Information Science (MLIS/MISt) or an equivalent information science qualification; this is a genuine requirement
- 5+ years applying information science in an enterprise or digital context, including taxonomy design, metadata modelling, controlled vocabularies, information architecture, or enterprise search
- Demonstrated experience designing and implementing a taxonomy and metadata model for a production content environment, with examples of deliverables produced
- Practical experience with enterprise search behaviour analysis, including search logs, zero-result diagnosis, relevance failure diagnosis, and search configuration tuning
- Working knowledge of taxonomy and metadata standards, including SKOS, Dublin Core, ISO 25964, and schema.org
- Understanding of how information architecture affects AI and natural-language retrieval quality
- Ability to conduct structured, scored article-level content analysis and report findings clearly to a non-specialist audience
- Eligible to obtain and hold a Government of Canada security clearance
- Nice to have: hands-on experience with Genesys Cloud knowledge base and authoring/optimisation tooling, or comparable platforms such as Salesforce Knowledge, ServiceNow Knowledge Management, or Zendesk Guide
- Nice to have: experience preparing content corpora for AI, retrieval-augmented generation, or virtual agent consumption
- Nice to have: experience establishing AI answer-quality evaluation
- Nice to have: government, public sector, or academic library background, including plain-language standards, WCAG accessibility requirements, and records management obligations
- Nice to have: bilingual English/French, including bilingual taxonomy and parallel content-set management
- Nice to have: experience with KCS (Knowledge-Centred Service) methodology
Benefits
- Comprehensive compensation and benefits package
- Health insurance
- Language courses
- Relocation program
- Professional development opportunities
- Certification programs
- Mentorship and talent investment programs
- Internal mobility opportunities
- Internship opportunities
- Collaboration on impactful projects for top global clients
- Inclusive and supportive work environment with open communication
- Regular team-building company social events
- Sustainable business practices focused on IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality
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