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Data Research & Analytics
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Elsevier
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RES0019Y Requisition #

Elsevier is looking for a Data Scientist to work collaboratively in a growing DS team helping to make the most of Elsevier’s data and to enhance user experience for researchers and professionals in science, technology, engineering and medicine.
 

The most important thing you do is research, design and build enrichment services on top of Elsevier’s core data set that includes scientific publications and their meta-data. This includes entity resolution, identification of anomalies and inter-linking additional internal and external data sets. You will have an opportunity to impact virtually all applications supported by the Research Products group in Elsevier such as Mendeley, Science-Direct, Scopus, ….

 

What you’ll be doing:

  • Research, develop and evaluate algorithms to power entity resolution services (e.g. author disambiguation, document deduplication)
  • Identify, obtain and prepare large scale data sets for training and testing algorithms (e.g. data cleaning, data normalization, data linkage)
  • Content categorization assigning semantic labels to records expressing what the record is about.
  • Productionize prototypes with the support of skilled engineers to make reliable, scalable systems
  • Deliver presentations that communicate the value of developed technologies to the business

You have:
  • Minimum MS in related fields such as Computer Science, Engineering, Mathematics, Statistics or equivalent work experience minimum 2 years.
  • Experience with programming in Python, Java and/or Scala
  • Experience with machine learning libraries (e.g. scikit-learn, SparkML, DL4J)
  • Experience using ETL and data pipelines (working with basic API & batch processing)
  • Experience with developing scalable data science solutions into production
  • Experience with at least one query language (e.g. SQL, SPARQL)
  • Some familiarity with big data technologies such as Spark
  • Experience in ad-hoc data analysis and root-cause analysis
  • Working in teams that are geographically distributed across multiple locations
  • As a plus we are looking for:
    • Familiarity with predictive analytics, forecasting, MTA, ROI
    • Familiarity with Recommender Systems, Personalization, or Search
    • Familiarity with A/B or Multivariate testing of features qualitatively and quantitatively
    • Familiarity with Deep learning and Deep learning libraries (Keras, TensorFlow)
    • Familiarity with virtualization and cloud development experience (ideally AWS)
    • Familiarity with  distributed systems, data streaming techniques
    • Familiarity with Linked data technologies
    • Familiarity with Agile methodologies such as Scrum for Data Science
    • Familiarity with NLP Techniques
 
About us:
  • We are committed to building cohesive teams where communication, support and innovation thrive.  Instead of taking a top-down approach to new ideas, all members of the team are empowered to contribute. Great ideas can come from anywhere
  • We’re a truly global company.  We are expanding our capabilities and offer a stimulating environment, enabling bright, passionate people to do their best work.
Elsevier is in the midst of a transformation that is being driven by digital technology. Our innovative technology platforms and smart content solutions operate at the cutting edge of big data, semantic web and cloud technology, enabling faster more effective critical decision-making daily across the globe.

Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, deliver better care, and sometimes make groundbreaking discoveries, that advance the boundaries of knowledge and human progress.

 

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