Information Scientist

🔥 0 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👻 Ghost score 25%

infoinfo
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

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

Logo of Miratech

Miratech

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

• Design and improve information architecture for effective knowledge retrieval in Genesys Cloud AI • Analyze the existing knowledge base to identify gaps in content structure, consistency, duplication, metadata, and searchability • Conduct a baseline assessment of 100–200 pilot articles for content quality, accuracy, currency, readability, and tagging practices • Analyze search logs and user behavior to identify relevance issues, zero-result queries, and terminology gaps • Design taxonomy and metadata models, including hierarchies, controlled vocabularies, synonyms, tagging rules, and audience-specific content classification • Define content structuring guidelines and search optimization requirements for keyword, semantic, and AI-powered retrieval • Establish content quality standards, lifecycle rules, review processes, and ownership guidelines with the Senior PS Consultant • Support proofs of concept by evaluating taxonomy and search capabilities, assessing AI retrieval quality, and documenting recommendations for the client's content team

🎯 Requirements

• 5+ years of experience in information science, taxonomy design, metadata modelling, information architecture, or enterprise search • Demonstrated experience designing taxonomies and metadata models for enterprise or digital content environments • Practical experience analyzing search behavior, improving content findability, and defining search optimization requirements • Experience structuring or preparing content for AI-powered search, knowledge retrieval, or virtual agents • Understanding of how content structure, metadata, and information architecture affect AI-powered search and knowledge retrieval • Strong analytical and communication skills, with the ability to translate findings into practical recommendations • Eligibility to obtain and maintain a Government of Canada security clearance • Master's degree in Library and Information Science (MLIS/MISt) or an equivalent qualification in Information Science (nice to have) • Experience with Genesys Cloud solutions or other contact centre knowledge platforms (nice to have) • Knowledge of taxonomy and metadata standards, such as SKOS, Dublin Core, or ISO 25964 (nice to have) • Government or public sector experience (nice to have) • Bilingual English/French proficiency (nice to have)

🏖️ 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 • Regular team-building company social events

Apply Now

Similar Jobs

🕒 October 9

Everest Clinical Research

501 - 1000

🏥 Healthcare

💼 Consulting

📦 Logistics

PK Scientist II conducting PK/PD analyses and modeling for Everest, a global clinical research CRO. Supporting clinical trials, regulatory submissions, and pharmacology documentation.

🇨🇦 Canada – Remote

💵 $105k - $120k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level