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Saturday, December 21, 2013

F/T - Content Metadat Specialist, Shutterstock (NY)

Content Metadata Specialist, Shutterstock – NY

Day-to-day responsibilities include:
  • Drive revenue optimization initiatives through the discovery of key-insights into content description eco-system dynamics.
  • Define and lead the implementation of metadata strategies to scale digital assets discovery and sales conversion.
  • Be the thought leader on introducing and exploring concepts around keyword methodologies, disambiguation techniques, ontologies/taxonomies, containment hierarchies, etc.
  • Own metrics related to metadata including quantity and type of descriptive attributes per asset, keyword relevancy, effectiveness, conversions and ROI.
  • Analyze performance of metadata application and usage, including keyword trends around seasonality, language, geo-specific terms, and cultural relevance.
  • Stakeholder specific to metadata for the development of content moderation services including linguistic and semantic analyses, metadata application, consistency, and relevancy.
  • Partner with the SEO and SEM teams to discover opportunities in metadata, implement validation test scenarios and define the desired outcomes of metadata clusters, synonym rings, and similarity search.
  • Establish smart, semantic auto-mapping to create seamless integration and interoperability across multiple descriptive attributes, languages, and character sets.
  • Hands-On Approach: You should be sharp, love rolling up your sleeves, getting your hands dirty, working alongside your team and leading by example.
  • Entrepreneurial inclination to discover innovative opportunities for applying analytical techniques to business strategies.
  • Working knowledge of media data standards, examples include; IPTC, EMM, Metadata Standards Group, Exif, XMP, RDF, Dublin Core, ONIX, etc.
  • Experience in resolving search and information organization issues around synonym rings, synsets, homographs, polysemes, stop words, etc.
  • Experience with impact analysis reporting and information visualization techniques – comfortable with statistics and data visualization in Excel.
  • Strong understanding of information organization architecture, digital asset management systems, database relationships, semantic modeling, metadata mapping and transformation.
  • Bachelor’s Degree in Computer Science, MLS, Business, or the equivalent combination of education and experience.
  • Knowledge and understanding of the stock industry business.
  • Experience with project planning, resource allocation, and cost modeling.
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