Amazon Senior Ontologist Amazon 

United States, Washington, Seattle 

615964749

Tasks and 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- 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 and refine data governance and processes used by global Ontologists
- Mentor and influence peersPerks:
- You’ll receive on the job training and group development opportunities.

- 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 embedding