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Data Scientist - Contract - Brussels - NLP, R, Spark, Scala

Job Title: Data Scientist - Contract - Brussels - NLP, R, Spark, Scala
Contract Type: Contract
Location: Brussels
Industry:
Salary: experience dependant
Start Date: 13/3/2017
Duration: 6 months +
REF: DSC/NLP/BE_1488388808
Contact Name: Danny Rahim
Contact Email: danny.rahim@parallelconsulting.com
Job Published: 5 months ago

Job Description

Data Scientist - Contract - ASAP - NLP, Machine Learning, R, MongoDB, Spark - Brussels/NY

A large international organisation are seeking a Data Scientist to join their award winning team in Brussels.

Must have 4+ years of relevant industry experience as well as:

Data Science:

- knowledge representation, knowledge bases and reasoning models, inferencing engines
- statistical data analysis
- probabilistic models, graph models
- applied machine learning (supervised/unsupervised, decision trees, neural
networks, ensemble methods, genetic algorithms/programming
- natural language processing, text mining, corpus analysis, information retrieval
- topic classification (vector space, LSI/LDA, ..)
- semantic networks / ontologies

Technicals:

- Proficient programming skills in a high-¬level language (core Java / Scala, ..)
- experience with data analysis and experimental design (R, iPython, ..)
- knowledge of relational databases, noSQL and Memory database technologies, graph processing (MongoDB, Redis, Memcached, Spark/GraphX, Neo4J, ..)
- broader knowledge and experience with large dataset processing and distributed computing architectures. (Spark/Hadoop architectures)

Education level:

- MSc degree in Computer Science, Mathematics or related field
- PhD or additional MSc in Computer Science, Artificial Intelligence, Statistics,
- Computational Linguistics or related field, or 5+ years of relevant industry experience.

Interviews will be organised WC 6/7/2017

Parallel Consulting is a multi-awarding winning, global leader in Analytics & Data Science recruitment.
With over 12 years expertise, we assist our clients within Analytics, Customer & Marketing Insight, Web Analytics, Big Data, Data Science, Credit Risk and BI.