Senior Knowledge Engineer for Global E-commerce Platforms
1 week ago
We are seeking an experienced Senior Ontologist to join our Product Knowledge Team in Munich, Germany. This is a fantastic opportunity to work with a global team of knowledge builders, delivering world-class taxonomy and ontology models to optimize product discovery for Amazon web and mobile experiences.
About the RoleAs a Senior Ontologist, you will be responsible for developing logical, semantically rich, and extensible data models for Amazon's extensive product catalog. You will ensure our ontologies provide comprehensive domain coverage that are available for both human and machine ingestion and inference. Your task will also include creating new schema using Generative Artificial Intelligence (generative AI) models, analyzing website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally, expanding and refining the expansion of data retrieval techniques to utilize our extensive knowledge graph, contributing to team goal setting and future state vision, driving and coordinating cross-functional projects with a broad range of merchandisers, engineers, designers, and other groups that may include architecting new data solutions, developing team operational excellence programs, data quality initiatives and process simplifications, evangelizing ontology and semantic technologies within and across teams at Amazon, developing and refining data governance and processes used by global Ontologists, mentoring and influencing peers.
About the CompanyMyGwork is an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. We are committed to furthering our culture of inclusion, offering continuous access to internal affinity groups as well as highlighting diversity programs.
About the SalaryThe estimated salary for this role is €120,000 - €180,000 per year, depending on experience. We offer immigration and relocation support.
About the BenefitsWe have a range of benefits to support your career growth, including on-the-job training and group development opportunities, flexible working hours, work-life harmony, inclusive team culture, career growth, and perks such as supporting CX used by millions of customers daily, working with data at a scale very few companies can offer, having offices around the globe, and the opportunity to be considered for global placement.
Requirements- 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;
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