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Data Scientist - Belgium
Eingestellt von LA International Computer Consultants Ltd
Gesuchte Skills: Engineering, Python, Sql
Projektbeschreibung
Role - Senior Data Scientist
Start - ASAP
Duration - 6 months
Location - Brussels
Main tasks:
Translate business requests into data requirements, extract the required structured and unstructured data from the data lake, data warehouse and other data sources (eg operational systems) and prepare large-scale datasets for modelling, using Python/Spark/R/SQL.
Develop predictive/prescriptive models using machine learning/statistical methods and build prototypes demonstrating the value of these models.
Present your results and discuss them with multifunctional project teams.
Work in close collaboration with business experts (for requirement gathering, data understanding, feature engineering, result validation, etc.) and IT (for deployment to production).
Required qualifications
PhD or Masters degree in a quantitative field (Artificial Intelligence, Computer Science, Statistics, Mathematics, etc.)
Strong knowledge of machine learning algorithms and statistical analysis
Strong hands-on experience with data science technologies, incl.:
Data science: Python (eg scikit-learn, TensorFlow)/R
Big data: Spark, Hadoop
Relational databases: SQL
Experience with complete data science life cycle, incl.:
Able to manage data analytics projects in an autonomous way
Experience in telecommunications sector and/or operational efficiency domain is a plus
LanguagesDutch and/or French + English
LA International Computer Consultants Ltd is an HMG Approved Consultancy and operates as an IT & Engineering Consultancy or as an Employment Business & Agency, depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, we welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International Computer Consultants Ltd (Recruiter Awards for Excellence - Best IT, Best Public Sector & Gold Awards) and the most prestigious award that any business can receive The Queens Award for Enterprise: International Trade 2015.
Start - ASAP
Duration - 6 months
Location - Brussels
Main tasks:
Translate business requests into data requirements, extract the required structured and unstructured data from the data lake, data warehouse and other data sources (eg operational systems) and prepare large-scale datasets for modelling, using Python/Spark/R/SQL.
Develop predictive/prescriptive models using machine learning/statistical methods and build prototypes demonstrating the value of these models.
Present your results and discuss them with multifunctional project teams.
Work in close collaboration with business experts (for requirement gathering, data understanding, feature engineering, result validation, etc.) and IT (for deployment to production).
Required qualifications
PhD or Masters degree in a quantitative field (Artificial Intelligence, Computer Science, Statistics, Mathematics, etc.)
Strong knowledge of machine learning algorithms and statistical analysis
Strong hands-on experience with data science technologies, incl.:
Data science: Python (eg scikit-learn, TensorFlow)/R
Big data: Spark, Hadoop
Relational databases: SQL
Experience with complete data science life cycle, incl.:
Able to manage data analytics projects in an autonomous way
Experience in telecommunications sector and/or operational efficiency domain is a plus
LanguagesDutch and/or French + English
LA International Computer Consultants Ltd is an HMG Approved Consultancy and operates as an IT & Engineering Consultancy or as an Employment Business & Agency, depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, we welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International Computer Consultants Ltd (Recruiter Awards for Excellence - Best IT, Best Public Sector & Gold Awards) and the most prestigious award that any business can receive The Queens Award for Enterprise: International Trade 2015.
Projektdetails
Geforderte Qualifikationen
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Kategorie:
IT Entwicklung, Ingenieurwesen/Technik