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Ontologist, Product Knowledge Ontology

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Amazon

10d ago

  • Job
    Full-time
    Mid Level
  • Data
    Research & Development

AI generated summary

  • You must have a degree in Library Science/related field, 3+ years in ontology roles, skills in RDF/OWL/SPARQL, and experience in e-commerce ontologies and SQL. Excellent communication and problem-solving skills are essential.
  • You will develop data models, enhance product discoverability, analyze metrics, create schemas using generative AI, and collaborate on cross-functional projects to optimize ontologies.

Requirements

  • 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
  • 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
  • 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)
  • Detail-oriented problem-solving, ability 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-order 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

Responsibilities

  • Develop logical, semantically rich, and extensible data models for Amazon's expansive product catalog
  • Ensure our ontologies provide comprehensive sub-domain coverage that are available 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
  • 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

FAQs

What qualifications are required for the Ontologist position?

A degree in Library Science, Information Systems, Linguistics, or equivalent professional experience is required, along with 3+ years of relevant work experience in ontology and/or taxonomy roles.

Is experience with Semantic Web technologies necessary?

Yes, familiarity with Semantic Web technologies such as RDF/s, OWL, and query languages like SPARQL is required.

Will I need to communicate with technical teams?

Yes, the role requires the ability to effectively communicate knowledge-based requirements and needs to engineering and retail teams.

What kind of data models will I be developing?

You will be developing logical, semantically rich, and extensible data models for Amazon's expansive product catalog.

Does this role involve collaboration with other teams?

Yes, you will collaborate with business partners, data science, and engineering teams to deliver knowledge-based solutions for product discoverability.

Is prior experience in e-commerce relevant for this position?

Yes, experience building ontologies in the e-commerce and semantic search spaces is preferred but not mandatory.

What tools will I be using in this position?

Familiarity with open-source and commercial ontology engineering editors such as Protege, TopQuadrant products, and PoolParty is advantageous.

How does Amazon value diversity in its hiring process?

Amazon is committed to employing a diverse workforce, and they make recruiting decisions based on experience and skills, valuing passion for discovery, invention, and simplification.

What opportunities for career growth does Amazon provide?

Amazon offers continuous support throughout your career, through initial training sessions and ongoing professional development, recognizing each team member as an individual.

Are there any specific programming skills required for this role?

Proficiency in SQL and SPARQL is required, along with familiarity with ontology manipulation programming libraries.

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Amazon

Retail & Consumer Goods
Industry
10,001+
Employees
1994
Founded Year

Mission & Purpose

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.