FAQs
What qualifications are required for the Ontologist position?
A degree in Library Science, Information Systems, Linguistics, or equivalent professional experience is required.
Is there an experience requirement for this role?
The position is open to candidates with 0-2 years of relevant experience in developing ontology or taxonomy data models.
What skills are important for this position?
Proven skills in data retrieval and data research techniques, the ability to understand complex processes, and familiarity with Semantic Web technologies (RDF/s, OWL), query languages (SPARQL), and validation/reasoning standards (SHACL, SPIN) are important.
Do I need to be proficient in any specific tools for this role?
Yes, familiarity with open-source or commercial ontology engineering editors such as Protege, TopQuadrant products, or PoolParty is preferred.
What will my main responsibilities be as an Ontologist?
Your main responsibilities will include developing semantically rich data models, ensuring comprehensive product knowledge coverage, researching product information, utilizing data retrieval techniques, and coordinating cross-functional projects.
Is there a focus on collaboration in this role?
Yes, this position involves collaboration with business partners, data science, and engineering teams to create knowledge-based solutions for product discoverability.
What kind of projects will I be working on?
You will be working on projects aimed at creating taxonomy and ontology models to optimize product discovery for Amazon's web and mobile experiences.
How does Amazon support diversity and inclusion in the workplace?
Amazon celebrates diverse cultures and backgrounds within its teams and is committed to fostering a culture of inclusion, offering access to internal affinity groups, and highlighting diversity programs.
Will I receive training and support for my career growth at Amazon?
Yes, Amazon provides continuous support throughout your career, from initial training sessions to ongoing career development opportunities.
Are there any specific technological skills mentioned for this position?
Yes, proficiency in SQL, SPARQL, and familiarity with software engineering life cycles, data science, or machine learning, including graph embeddings, are beneficial for this role.