Ontologist, Product Knowledge, Ontology

Amazon-posted about 1 year ago
$56,100 - $125,500/Yr
Full-time • Entry Level
Seattle, WA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers
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The Ontologist position at Amazon.com Services LLC focuses on developing and managing ontology and taxonomy data models to enhance product discoverability across Amazon's platforms. The role involves collaborating with various teams to create semantically rich data models that improve customer shopping experiences and support internal product data enrichment. The Ontologist will leverage advanced technologies, including Generative AI, to optimize product knowledge and ensure comprehensive coverage of product entities.

  • Develop logical, semantically rich, and extensible data models for Amazon's expansive product catalog.
  • Ensure ontologies provide comprehensive product knowledge entities coverage for machine ingestion and inference.
  • Research worldwide understanding of Amazon products to develop scalable data models that solve customer problems and enhance product discoverability.
  • Create new schema using Generative Artificial Intelligence (generative AI) models.
  • Leverage existing data retrieval techniques utilizing the extensive product catalog and query languages.
  • Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing knowledge graph data models globally.
  • Drive awareness of ontology modeling and technology best practices within the organization and across Amazon.
  • Coordinate cross-functional projects with technical and non-technical teams.
  • Master's degree in Library Science, Information Systems, Linguistics, or equivalent professional experience.
  • 0-2 years of relevant experience developing ontology or taxonomy data models.
  • Proven skills in data retrieval and data research techniques.
  • Familiarity with Semantic Web technologies (RDF/s, OWL), query languages (SPARQL), and validation/reasoning standards (SHACL, SPIN).
  • Familiarity with ontology engineering editors (e.g., Protege, TopQuadrant products, PoolParty).
  • Detail-oriented problem solver able to work in a fast-changing environment and manage ambiguity.
  • Strong communication and interpersonal skills.
  • Proficient English language skills.
  • Experience building ontologies in the e-commerce and semantic search spaces.
  • Experience working with schema-level constructs (e.g., higher-order classes, punning, property inheritance).
  • Proficiency in SQL, SPARQL.
  • Familiarity with the software engineering life cycle.
  • Exposure to data science and/or machine learning, including graph embeddings.
  • Medical, financial, and other benefits
  • Equity and sign-on payments as part of total compensation package
  • Continuous access to internal affinity groups
  • Career growth support and training sessions
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