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Data Research & Analytics
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Elsevier
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RES0010W Requisition #
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 ground-breaking discoveries that advance the boundaries of knowledge and human progress.
 
Elsevier is in the midst of a transformation. Technology is simultaneously at the forefront and the driving force.  Our innovative platforms and smart content solutions operate at the cutting edge of big data, semantic web and cloud technology, enabling faster and more effective critical decision-making daily across the globe.

Elsevier is recruiting a Senior Data Scientist whose main responsibilities are to develop and improve discovery services that help researchers to find what matters to them (e.g. articles, researchers, funding opportunities).  You will work on products throughout Elsevier from existing ones with high volumes of traffic to new and innovative ones.

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. 
  • You will be working in a modern and spacious new building, constructed with the sole purpose of encouraging creativity and collaboration. 

Responsibilities: 
  • Assume data science ownership over certain components and continuously work to improve them 
  • Identify, research and design algorithms to power Elsevier’s discovery services (e.g. recommender systems and search engines) 
  • Build and deliver algorithms in production environments, typically as services 
  • Evaluate how these algorithms perform in live services and improve them to move relevant business goals 
  • Work closely with other data scientists, engineers and product owners to understand complex product requirements and translate them into solutions 
  • Demonstrate, communicate and promote the value of Data Science in discovery products both inside and outside the company 

What you'll be doing: 
  • Collaborate with cross functional agile team of data scientists, engineers and product owners to deliver end-to-end discovery products 
  • Drive improvement of the quality of discovery services throughout Elsevier 
  • Research and develop algorithms to power discovery services (e.g. recommender systems, search engines) 
  • Identify, obtain and prepare large scale data sets for training and testing algorithms (e.g. data cleaning, data normalization, data linkage) 
  • Evaluate algorithms through controlled offline and online experiments (e.g. A/B testing) 
  • Build proof of concept prototypes demonstrating these algorithms in action  
  • Productionize prototypes with the support of skilled engineers to build reliable, scalable systems 
  • Deliver presentations that communicate the value of discovery technologies to the business 
  • Keep up-to-date with relevant data and machine learning technologies 
  • Help out with recruitment and onboarding of new data scientists

You should bring: 
  • 4+ years of research and development experience in industry or academia 
  • PhD or MSc in Machine Learning or related fields is strongly preferred 
  • Strong background in Machine Learning, preferably with expertise in personalized machine learning algorithms 
  • Experience with building and improving discovery services such as Recommender Systems and Search Engines is desirable but not required 
  • Good problem-solving involving identifying, researching and delivering solutions to product needs 
  • Experience of working in cross functional teams including Engineers, UX and Product to build and deliver data products  
  • Experience of creating and delivering presentations that communicate the value of data products to different groups (e.g. Business, Engineering, Product)  
  • Experience in fast prototyping languages (e.g. R, Python) and Unix skills (e.g. bash scripting, sed, AWK) 
  • Experience of Java or Scala programming; can independently prototype solutions to problems 
  • Experience with big data technologies (e.g. Spark, Hadoop, MapReduce) and AWS
  • Experience of working with large scale data sets 
  • Knowledge of agile software processes and data-driven development is a plus 
  • Fluent spoken and written English
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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