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Senior Data Scientist - Python, Spark, Hadoop
Eingestellt von Empiric Solutions
Gesuchte Skills: Python, Engineering, Sql, Client
Projektbeschreibung
Senior Data Scientist - Python, Spark, Hadoop
My client, based in Brussels, are looking for an experienced Data Scientist to join their team for an initial 6 months.
Content of the job:
- Within the Corporate Strategy & Market Insights department, you will be part of the Operational Efficiency Analytics team and focus on the application of data science methods to improve the internal processes of our client, in order to achieve better customer experience and cost savings.
- 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/SQL/R.
- Identify high-value use cases through data exploration and visualization.
- Develop predictive/prescriptive models using machine learning/statistical methods and build prototypes demonstrating the value of these models.
- Deploy prototypes to production, with support of IT, to obtain reliable, scalable systems.
- 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).
Skills:
- PhD or Master's degree in a quantitative field (Artificial Intelligence, Computer Science, Statistics, Mathematics, etc.)
- Minimum 4 years of relevant work experience
- 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 Real Time streaming is a plus
- Experience with complete data science life cycle, incl.:
- Business requirements gathering
- Data understanding, preparation, visualization
- Data exploration, identification of high-value use cases
- Modelling (incl. feature engineering, model fitting, etc.)
- Deployment to production, reporting, maintenance
- Team player with strong communication and presentation skills
- Able to manage data analytics projects in an autonomous way
- Experience in telecommunications sector and/or operational efficiency domain is a plus
- Dutch/French + English
My client, based in Brussels, are looking for an experienced Data Scientist to join their team for an initial 6 months.
Content of the job:
- Within the Corporate Strategy & Market Insights department, you will be part of the Operational Efficiency Analytics team and focus on the application of data science methods to improve the internal processes of our client, in order to achieve better customer experience and cost savings.
- 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/SQL/R.
- Identify high-value use cases through data exploration and visualization.
- Develop predictive/prescriptive models using machine learning/statistical methods and build prototypes demonstrating the value of these models.
- Deploy prototypes to production, with support of IT, to obtain reliable, scalable systems.
- 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).
Skills:
- PhD or Master's degree in a quantitative field (Artificial Intelligence, Computer Science, Statistics, Mathematics, etc.)
- Minimum 4 years of relevant work experience
- 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 Real Time streaming is a plus
- Experience with complete data science life cycle, incl.:
- Business requirements gathering
- Data understanding, preparation, visualization
- Data exploration, identification of high-value use cases
- Modelling (incl. feature engineering, model fitting, etc.)
- Deployment to production, reporting, maintenance
- Team player with strong communication and presentation skills
- Able to manage data analytics projects in an autonomous way
- Experience in telecommunications sector and/or operational efficiency domain is a plus
- Dutch/French + English
Projektdetails
Geforderte Qualifikationen
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Kategorie:
IT Entwicklung, Ingenieurwesen/Technik