IFIP

Data Scientist

• Administer, enrich, and ensure the reliability of economic databases by integrating new sources, conducting quality checks, documenting processes, and maintaining data flows
• Design, develop, and maintain data collection, transformation, and loading pipelines (ETL/ELT), particularly using Azure Data Factory, SQL, and R (or Python) scripts
• Automate data processing, updating, and distribution processes, particularly with Power Automate and tools in the Microsoft ecosystem
• Develop and enhance dashboards, interactive reports, and Business Intelligence tools in Power BI for IFIP teams and industry partners
• Conduct statistical analyses and create visualizations for economic studies and applied research projects, in collaboration with subject-matter engineers
• Contribute to the development of modeling and predictive analysis methods and, as needed, artificial intelligence solutions
• Support users in adopting the tools and contribute to the continuous improvement of data management and data value-enhancement practices
• Monitor technological developments and contribute to the digital transformation of the Economics division and the Institute

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Data Scientist, Data Manager