Knowledge Graph Scientist

Elsevier

Amsterdam, The Netherlands

Posted on: 2nd July 2018

Data is a wonderful thing. It empowers scientists and researchers to make breakthrough and discoveries, in turn creating more knowledge which benefits all of humanity. But, all that data can be cumbersome too, forcing the people who need it to spend time and resources just to find the data they need.

That’s where we come in. Joining us at our new tech hub in Amsterdam, you’ll be helping us find new, innovative ways to make the world’s scientific and medical data more searchable, intelligent and efficient, so that researchers can get back to their research. This is fantastic opportunity to play a central role in expanding the functionality of the largest and most advanced data repository on the planet, using some of the most advanced technologies on the planet.

Stack Overview

The world’s most advanced technology is crucial to our mission. So you’ll get the opportunity to use tech like:

  • Languages like Python, Java
  • Semantic Web/W3C standards, i.e. RDF(S), OWL, SPARQL, JSON-LD

More about the role

In this role, you’ll get the opportunity to contribute to all aspects of the design and development of dynamic knowledge stores, translating user requirements into cutting edge solutions. You’ll acquire new technical capabilities. You’ll actively promote new ideas for using data to enhance our competitive offerings. You’ll get the chance to spread your wings and engage your many talents; identifying new trends, problems and opportunities; opportunity to coach your team on how to analyze information; seeking alternative ways to solve complex problems; applying your depth of knowledge and understanding across multiple functions, and on behalf of multiple teams. But the reason you’ll be indispensable to our organization will be your ability to design, develop and deliver knowledge graphs that enrich our platforms and products.

More about you

As an ideal candidate, you’ll need a PhD in Computer Science, Artificial Intelligence, or a related field. On top of that, you’ll need 4 years of relevant experience in knowledge representation and Semantic Web. In that time, you’ll have developed expert knowledge of: modeling techniques; graph design; semantic modelling; ontology engineering; technical aspects of Knowledge Graph construction, maintenance, querying, storage, development; Semantic Web/W3C Standards (e.g. RDF(S), OWL, SPARQL, JSON-LD); and applying Knowledge Representation and engineering (i.e. taxonomies, ontologies, linked data sets) for practical use cases.

You’ll need at least some experience of the development of knowledge and data models. Experience with Natural Language Processing and/or Machine Learning techniques and tools will really set you apart – and set you up for great success! Presentation and communication skills are also important, as you’ll regularly connect with customers to gather feedback and build relationships.

Oh, and you’ve got a positive, constructive approach with an emphasis on collaboration and flexibility, right? We need someone with confidence, but who can admit when someone else has a better idea too.

More about Elsevier

At Elsevier, pride, passion and the pursuit of knowledge meet innovation, opportunity and growth. We are an organization that runs on intelligence. We supply it, develop it, and rely on it – and it requires intelligent people to make the intelligent career choice that will see us improve further. If you join us in Amsterdam, you will be part of shaping science’s next steps.

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