About this role
Elsevier is in the midst of a TRANSFORMATION and TECHNOLOGY is simultaneously at the FOREFRONT and the DRIVING FORCE. 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.
Product
Mendeley is part of Elsevier. Mendeley is changing the way research is done. We are mission led with a strong commitment to providing the best tools to help researchers and scientists do their work. We’ve built a global research collaboration platform, reference management tool and open research database.
The Role
We are looking for a Data Scientist whose main responsibilities are to research, develop and evaluate algorithms in order to build software tools for researchers. You will contribute to building systems that help researchers to organise their research, contextualise it with respect to other research, collaborate with one another, and discover new research.
Responsibilities:
Research, develop and evaluate algorithms for use in Mendeley’s software tools
Demonstrate how well these algorithms perform when applied to real data
Work with engineering teams to deliver algorithms in production environments
What you’ll be doing
Identify, obtain and prepare data sets for training and testing algorithms
Research, develop and evaluate algorithms for systems such as recommender and information extraction systems
Build proof of concept prototypes demonstrating these algorithms in action
Evaluate algorithms through controlled offline and online experiments
Work with engineering teams to guide prototypes through to production, making reliable/scalable systems
Manipulate large scale data (data cleaning, data normalisation, data linkage)
Company:
Elsevier
Qualifications:
What you should bring
Strong research and development experience in industry and/or academia
Hold an MSc, preferably PhD, in Computer Science
Experience working with large graph/network data sets, with rich textual content
Experience of Java programming; can independently prototype solutions to problems
Experience with Recommender System, NLP and Machine Learning libraries
Experience with big data technologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala) is desirable but not required
Unix skills
Experience with start-up and R&D environments
Strong presentation skills in communicating with experts and novices
Language requirements:
Fluent spoken and written English
Educational level:
Master Degree
How to apply:
Please mention NLP People as a source when applying