Ontologist II - Amz9740721

Amazon Amazon · Big Tech · Seattle, WA · Corporate Operations

Develops and maintains data models and ontologies for Amazon's product catalog, leveraging generative AI and semantic web technologies to enhance data retrieval and product discoverability. Analyzes metrics to optimize knowledge graphs and contributes to tool development.

What you'd actually do

  1. Develop logical, semantically rich, and extensible data models for Amazon's expansive product catalog.
  2. Ensure our ontologies provide comprehensive sub-domain coverage that are available for machine ingestion and inference.
  3. Research worldwide understanding of Amazon products to develop scalable data models that solve customer problems and enhance product discoverability.
  4. Create new schema using Generative Artificial Intelligence (generative AI) models.
  5. Expand existing data retrieval techniques by utilizing our extensive product catalog and query languages.

Skills

Required

  • data retrieval and data research techniques
  • communicating knowledge-based requirements and needs to engineering and retail teams
  • working with Semantic Web technologies, query languages and validation and reasoning standards
  • knowledge of open-source and commercial ontology engineering editors
  • Master's degree or foreign equivalent degree in Information Science, Library Science, Linguistics, or a related field
  • three years of experience in the job offered or a related occupation

What the JD emphasized

  • Master's degree or foreign equivalent degree in Information Science, Library Science, Linguistics, or a related field and three years of experience in the job offered or a related occupation.
  • one year of experience in the following skill(s): (1) data retrieval and data research techniques; (2) communicating knowledge-based requirements and needs to engineering and retail teams; (3) working with Semantic Web technologies, query languages and validation and reasoning standards; (4) knowledge of open-source and commercial ontology engineering editors.

Other signals

  • Develop logical, semantically rich, and extensible data models
  • Create new schema using Generative Artificial Intelligence (generative AI) models
  • Expand existing data retrieval techniques by utilizing our extensive product catalog and query languages
  • Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally