Library Scientist

🔥 22 hours ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Miratech

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1989

🤝 B2B

💼 Consulting

☁️ SaaS

💰 Private Equity Round on 2022-04

B2B • Consulting • SaaS

Miratech is a global IT services and consulting company dedicated to helping visionaries change the world. Specializing in outsourcing, software development, and professional services, Miratech supports digital transformation for some of the largest enterprises worldwide. By combining enterprise and start-up innovation, Miratech remains at the forefront of technology while maintaining agility and a culture of relentless performance that has led to high engagement success since its founding in 1989.

📋 Description

• 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