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Product Management
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Elsevier
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RES001EN Requisition #

Are you a Data Scientist who is keen on using Natural Language Processing (NLP) in products that support thousands of researchers as well as universities and funding organizations? Are you familiar with large data processing frameworks like Apache Spark, and are you eager to work with large high-quality textual datasets? We have the right opportunity for you!

 

Introduction

Research Products is looking for a Data Scientist specialized in Natural Language Processing (NLP) to work collaboratively on text processing and classification capabilities that support new and existing customer-facing products such as Pure (indexing and classification), SciVal (discovery), and Funding Institutional (classification).

   

Role

You will be working in the NLP team in Research Products, which is responsible for text processing functionalities such as concept mining (indexing) and text classification for scientific article text. Many of such functionalities are delivered through Elsevier's Fingerprint Engine (FPE), a text mining toolkit with capabilities such as tagging, classification, discovery and reporting. The new position would involve development of NLP-based product features, support to other teams and products that rely on the text analysis capabilities, and data science activities in which applying NLP to the large datasets Elsevier has available play an important role. These activities include the improvement and development of semantic based matching algorithms and text classifiers.

 

The data scientist is expected to have the methodological skills and experience to employ various NLP techniques and to organize and wrangle large datasets from different sources for the purpose of information extraction, classification, matching/ranking, and linking. The data scientist is a member of the NLP team and works in cooperation with other teams in Research Products, such as the SciVal Content, Funding, Data, Core Recommenders, and Analytics teams.

 

 

 

 

What you should bring 

  • MSc (or PhD) degree in Computer Science, Data Science, NLP or Computational Linguistics
  • 3+ years of industry experience, involving NLP-focused (software) development 
  • A proactive team player that can tackle most task independently
  • Solid data science skills, shown by experience and delivered projects
  • Experience with common NLP techniques and tooling, and machine learning
  • Experience with handling large textual datasets and big data platforms such as Apache Spark 
  • Familiarity with relational databases (SQL), and experience with NoSQL databases is welcome
  • Demonstrable experience in programming, ideally with Java, Scala, or C#/++
  • Experience working in a software development team

 

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