High Salary! Data Scientist – PhD Computer Science,Recommender Systems, NLP, Machine Learning, Java ...

Elsevier is in the midst of a TRANSFORMATION andTECHNOLOGY is simultaneously at the FOREFRONT and the DRIVINGFORCE. Our innovative technology platforms and smart contentsolutions operate at the cutting edge of big data, semantic web andcloud technology, enabling faster more effective criticaldecision-making daily across the globe. Product Mendeley is part ofElsevier. Mendeley is changing the way research is done. We aremission led with a strong commitment to providing the best tools tohelp researchers and scientists do their work. We’ve built a globalresearch collaboration platform, reference management tool and openresearch database. The Role We are looking for a Data Scientistwhose main responsibilities are to research, develop and evaluatealgorithms in order to build software tools for researchers. Youwill contribute to building systems that help researchers toorganise their research, contextualise it with respect to otherresearch, collaborate with one another, and discover new research.Responsibilities: 1. Research, develop and evaluate algorithms foruse in Mendeley’s software tools. 2. Demonstrate how well thesealgorithms perform when applied to real data. 3. Work withengineering teams to deliver algorithms in production environments.What you’ll be doing: 1. Identify, obtain and prepare data sets fortraining and testing algorithms. 2. Research, develop and evaluatealgorithms for systems such as recommender and informationextraction systems. 3. Build proof of concept prototypesdemonstrating these algorithms in action. 4. Evaluate algorithmsthrough controlled offline and online experiments. 5. Work withengineering teams to guide prototypes through to production, makingreliable/scalable systems. 6. Manipulate large scale data (datacleaning, data normalisation, data linkage). Company: ElsevierQualifications: What you should bring: 1. Strong research anddevelopment experience in industry and/or academia. 2. Hold an MSc,preferably PhD, in Computer Science. 3. Experience working withlarge graph/network data sets, with rich textual content. 4.Experience of Java programming; can independently prototypesolutions to problems. 5. Experience with Recommender System, NLPand Machine Learning libraries. 6. Experience with big datatechnologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala)is desirable but not required. 7. Unix skills. 8. Experience withstart-up and R&D environments. 9. Strong presentation skills incommunicating with experts and novices. Language requirements:Fluent spoken and written English. Educational level: MasterDegree. Please mention NLP People as a source when applying.#J-18808-Ljbffr