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Permanent

Data Scientist – PhD Computer Science, Recommender Systems, NLP, Machine Learning, Java

London
money-bag Negotiable
7EA686C825D976EFA0A043E176BD5C59
Posted 3 days ago

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.ProductMendeley 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 RoleWe 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 toolsDemonstrate how well these algorithms perform when applied to real dataWork with engineering teams to deliver algorithms in production environmentsWhat you’ll be doingIdentify, obtain and prepare data sets for training and testing algorithmsResearch, develop and evaluate algorithms for systems such as recommender and information extraction systemsBuild proof of concept prototypes demonstrating these algorithms in actionEvaluate algorithms through controlled offline and online experimentsWork with engineering teams to guide prototypes through to production, making reliable/scalable systemsManipulate large scale data (data cleaning, data normalisation, data linkage)Company:

ElsevierQualifications:

What you should bringStrong research and development experience in industry and/or academiaHold an MSc, preferably PhD, in Computer ScienceExperience working with large graph/network data sets, with rich textual contentExperience of Java programming; can independently prototype solutions to problemsExperience with Recommender System, NLP and Machine Learning librariesExperience with big data technologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala) is desirable but not requiredUnix skillsExperience with start-up and RandD environmentsStrong presentation skills in communicating with experts and novicesLanguage requirements:

Fluent spoken and written EnglishEducational level:

Master DegreeHow to apply:

Please mention NLP People as a source when applyinghttps://www.linkedin.com/jobs2/view/51256089?trk=vsrp_jobs_res_nameandtrkInfo=VSRPsearchId%3A410356921432654273935%2CVSRPtargetId%3A51256089%2CVSRPcmpt%3AprimaryTagged as:

Data Mining ,

Industry ,

Information Extraction ,

Machine Learning ,

Master Degree ,

Recommendation System ,

United Kingdom

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