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As an Ontologist, you will work on a global team of knowledge builders to help us consistently interpret these taxonomies (like UNSPSC, E-Class, etc.) and create a unified taxonomy to help translate product categorizations across taxonomies to meet the diverse needs of customers in the B2B space. Moreover, you will help create crisp guidelines on how to categorize products using a combination of human in the loop systems. You will also be responsible for driving the opinion on how to evolve these taxonomies to meet the growing needs of our customers.
Key job responsibilities
* Help to consistently interpret the intent behind industry standard taxonomies like UNSPSC, E-Class, etc.
* 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
* Contribute to the development of new tool features and processes for the Ontology team
* Drive alignment to ontology modeling and technology best practices and principles within our organization and across Amazon
* Coordinate cross-functional projects with a broad range of technical and non-technical teams
* Degree in Library Science, Information Systems, Linguistics or equivalent professional experience
* 3+ years of relevant work experience working in ontology and/or taxonomy roles
* 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)
* Knowledge of open-source and commercial ontology engineering editors (e.g. Protege, TopQuadrant products, PoolParty)
* Proficient English language skills
* Master’s degree in Library Science, Information Systems, Linguistics or other relevant fields
* Ability to quickly understand complex processes and communicate them in simple language
* Ability to communicate knowledge-based requirements and needs to engineering and retail teams
* Detail-oriented problem-solving, ability to work in fast-changing environment and manage ambiguity
* Experience building and unifying diverse ontologies in the growing e-commerce businesses.
* Experience working with schema-level constructs (e.g. higher-order classes, punning, property inheritance)
* Proficiency in SQL, SPARQL
* Familiarity with software engineering life cycle.
* Familiarity with ontology manipulation programming libraries.
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