Data Scientist

• Design surveys, including structure, content, and layout, optimized for the anticipated analytics.
• Query databases to retrieve relevant data from HR information system databases or data warehouses.
• Perform data treatment, including data integration, editing, imputation, and weighting, while applying appropriate data protection measures.
• Conduct advanced data analysis, including statistical analysis, modeling, forecasting, and text analysis, combining multiple data sources.
• Design, develop, and test prototype dashboards and other web-based applications.
• Design, develop, and implement AI and machine learning models to extract insights, automate processes, and enhance decision-making within the project context.
• Exchange with clients or stakeholders in response to data requests or within project contexts to identify analytical needs, expectations, and assumptions.
• Identify potential data sources and data collection instruments for specific data analysis assignments and develop appropriate statistical methodologies and tools.
• Prepare deliverables, including narrative reports with visualizations and interpretation of trends, insights, and recommendations.
• Disseminate results and share knowledge through papers, briefings, news releases, websites, and presentations, including provision of results-based policy advice.
• Create and maintain comprehensive documentation of methodologies and developments.

Data Scientist

LLM & Agentic AI Data Scientist