Data Scientist
Il y a 3 mois
**Description of the task**:Following tasks will be performed by external service provider:
- Coordination and review of policy units’ business needs
- Definition of solutions proposed for servicing policy units’ business needs
- Interaction with the business analysts, customer, users, project leaders and the developers
- Carry out ETL (Extract, Transform, Load) tasks
- Creating, designing and developing data models
- Analyse large datasets and propose approaches for optimisation of reporting
- Assessment and quality control of data
- Preparation of statistical analysis of data for use by policy officers and other stakeholders
- Management and processing of data
- Reporting of key indicators for different policy fields on the basis of data sets available
- Development and maintenance of interactive dashboards in Power BI
- Assistance with data management aspects of IT projects developed in client.
**Level of Education**:
- A minimum educational qualification for lot 2 is: Level of education corresponding to Level 6 of the European Qualification Framework which typically corresponds to a bachelor’s level or 3 years of higher education.
**Knowledge and Skills**:Following skills and knowledge are required for the performance of the above listed tasks:
- Very good knowledge of reporting and statistics
- Ability to provide ad hoc reports efficiently and fast
- Ability to give business and technical presentations
- Ability to cope with fast changing technologies used in reporting (currently focused on Power BI)
- Very good communication skills with technical and non-technical audiences
- Analysis and problem solving skills
- Capability to write clear and structured technical documents
- Ability to participate in technical meetings and good communication skills
**Specific Expertise:Following specific expertise is mandatory for the performance of tasks**:
- Excellent knowledge of Data Analytics techniques and tools.
- Good knowledge of Power BI (including Power Query).
- Experience with one or more of the following:
Machine Learning and Natural Language Processing.Languages like Visual Basic, SQL,Other business intelligence tools (SAP Business Objects, QlikSense, SAS ).ETL processes and tools (i.e. Azure Data Factory )
- Knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL).
- Knowledge of architectural design and implementation of scalable modern data stores.
- Knowledge in one of the following areas:
- Predictive (forecasting, recommendation),
Prescriptive (simulation),Sentiment analysis,Topic detection,Social media crawling and processing,Trends/anomalies detection in datasets,Recommendation systems.
**Job Types**: Full-time, Permanent contract
**Benefits**:
- Company car
- Company computer
- Eco vouchers
- Food allowance
- Fuel card
- Hospitalization insurance
Supplemental Pay:
- 13th month salary
Work Location: In person
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