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Data Research & Analytics
OPE001SQ Requisition #
Machine Learning Scientist

Are you a Machine Learning Scientist and do you know of the state-of-the-art tooling in capturing textual content and translating human annotations to machine models? Do you have experience in working with big data? We have the right opportunity for you!

For the Digital Content Services team in Amsterdam, Elsevier is hiring a Machine Learning Scientist. In this role, you will develop and apply machine learning methods in projects across Elsevier and serve as internal and external specialist on Machine Learning techniques.

In line with the Elsevier corporate strategy of greater content volume, types and sophistication, the services that Elsevier provides are becoming increasingly dependent on Smart Content. We are therefore looking for a Machine Learning Scientist who can focus on designing and creating systems that enable machine learning in the context of article submission systems and other systems where authors provide scientific content to be published by Elsevier journals.

Focus of the position

As a Machine Learning Scientist, you will be working with our business units on developing services that analyze, annotate and structure content found in scientific articles. We want to develop automated text classification and entity linking targeting specific problems in scientific manuscript structuring, author and reference identification. Ultimately, machine learning tools may suggest annotations and structured meta-data that are as good as human-generated data and even replace human annotations. Our solutions depend heavily on concept indexing or annotation, relationship extraction, extracting data from formatted text, images, mathematical expressions and tables.

As a Machine Learning Scientist, you will have experience solving content analysis problems using supervised or unsupervised machine learning methodologies, you know of the state-of-the-art tooling in processing textual content at a large scale and be familiar with analyzing image data. You have a good understanding of the current Machine Learning libraries and have used at least some of them, solving real life problems. You are a hands-on person that does not care about Java or Python but about the right approach to the problem. 

Working together

You will be working in Elsevier Operations with a varied and cross-functional team of IT and product colleagues to pilot and develop new methods of extracting and surfacing information relevant to our customers for new product development. When successful, the Machine Learning Scientist supports the implementation of industry-scale high-quality production systems. You will work closely with both the domain subject matter experts and NLP teams.

Your responsibilities
  • Apply and develop machine learning techniques to drive the implementation of automated recognition processes and to improve them in cost and time-efficiency
  • Actively promote new ideas to enhance our competitive offerings based on the available data
  • Contribute to product and operational content strategies by identifying and ingesting new technical capabilities to forward Elsevier mission of leading the way in advancing science, technology and medicine
  • Act as a liaison between IT developers and (content) subject matters experts, translating information needs into software development

What you bring

  • PhD degree in Computer Science, Engineering, Statistics, Data Science, Computational Linguistics or an associated area
  • Experience in information extraction from textual and image data and work on the projects that require large data processing
  • A creative problem solver with a strong knowledge of statistics, text analytics and machine learning methods and strategies
  • Ability to drive new developments and implement process changes and disruptive technologies in the organization
  • Good communication and documentation skills with the ability to convey complex technical concepts to non-technical professionals
  • Experience working with a variety of stakeholders at the mid and senior management level

Technical skills
  • Experience with applying Machine Learning methodologies, such as SVM, Deep Neural Networks, LSTMs, CRFs models for sequence recognition/ prediction
  • Experience with Natural Language Processing. Familiarity with image analysis is a plus.
  • Scientific software development experience, preferably in Python or Java. 
  • Handling XML data, and experience using *nix systems, open source software and libraries
  • Experience with Spark is a plus
  • Familiarity with agile software development
  • Support technical scoping, design solutions requirements and testing, maintain documentation and perform code reviews
  • Know how to improve efficiency of existing code and optimize performance

What we offer

We welcome you to a truly global, dynamic and challenging environment with great opportunities for personal development. Elsevier’s benefits are very competitive and the summary below will give you an idea of what you can expect when joining Elsevier in the Netherlands. 
  • Competitive salary and a 13th month 
  • 27 days of leave 
  • Attractive collective health care insurance package with considerable reduction rates 
  • Solid Pension Plan, with a choice between a collective pension plan an individual pension plan 
  • Profit share or bonus plan subject to the company annual results 
  • You can participate in the convertible personnel bond scheme 
  • Flexible working arrangements 
  • Travel allowance for commuting 
  • Reductions to several personal insurance packages due to our collective agreements 
  • Additional benefits, such as memberships to Elsevier’s magazines, discount on books and in-house sport facilities
  • Numerous training, coaching and e-learning modules for long term job opportunities and development 
  • Several local and global networking communities to share best practices and knowledge 
  • Various social responsibility programs, channeling knowledge and strengths to help communities around the world improve education, science, health care and protect the environment

An assessment or business case could be part of our selection procedure. A pre-employment screening will be part of our recruitment procedure.

About Elsevier

We are a global company headquartered in Amsterdam, employing more than 7,000 people in 24 countries. Today we are driving innovation by delivering authoritative content with cutting-edge technology, allowing our customers to find the answers they need quickly. We are part of the RELX Group plc., employing over 34.000 staff.       

A leading provider of science and health information, Elsevier partners with experts around the globe to develop world-class content, delivering it in ways that fuel discovery, drive innovation and improve health care. Our global community comprises over 7,000 journal editors, 70,000 editorial board members, 300,000 reviewers and 600,000 authors. They are scientists and clinicians; authors and editors, professors and students; information professionals and decision makers.       

Want to read more? Please visit www.elsevier.com

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