Amazon Senior Ontologist Amazon 

United States, Washington, Seattle 

344862778

Key job responsibilities* Ensure our ontologies provide comprehensive domain coverage that are available for both human and machine ingestion and inference
* Create new schema using Generative Artificial Intelligence (generative AI) models
* Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally
* Expand and refine the expansion of data retrieval techniques to utilize our extensive knowledge graph
* Contribute to team goal setting and future state vision
* Drive and coordinate cross-functional projects with a broad range of merchandisers, engineers, designers, and other groups that may include architecting new data solutions
* Develop team operational excellence programs, data quality initiatives and process simplifications* Develop and refine data governance and processes used by global Ontologists
* Mentor and influence peers

* Degree in Library Science, Information Systems, Linguistics or equivalent professional experience
* 5+ years of relevant work experience working in ontology and/or taxonomy roles
* Proven skills in data retrieval and data research techniques
* Ability to quickly understand complex processes and communicate them in simple language
* Experience creating and communicating technical requirements to engineering teams
* Ability to communicate to senior leadership (Director and VP levels)
* Experience with generative AI (e.g. creating prompts)
* Knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN)
* Knowledge of open-source and commercial ontology engineering editors (e.g. Protege, TopQuadrant products, PoolParty)
* Detail-oriented problem solver who is able to work in fast-changing environment and manage ambiguity
* Proven track record of strong communication and interpersonal skills
* Proficient English language skills

* Master’s degree in Library Science, Information Systems, Linguistics or other relevant fields
* Experience building ontologies in the e-commerce and semantic search spaces
* Experience working with schema-level constructs (e.g. higher-level classes, punning, property inheritance)
* Proficiency in SQL, SPARQL
* Familiarity with software engineering life cycle
* Familiarity with ontology manipulation programming libraries
* Exposure to data science and/or machine learning, including graph embeddings