Data Scientist role at Uni Systems focusing on survey design and advanced data analysis. Involves AI model development for data insights and decision-making processes.
Responsibilities
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.
Requirements
Master's degree in IT and minimum 11 years of relevant experience (or Bachelor's in IT and minimum 15 years of experience).
At least 3 years of experience in data analysis, including survey analysis.
Practical experience in survey design.
Proven experience in hands-on dashboard development.
Excellent command of MS Outlook, Teams, Word, Excel, and PowerPoint.
Demonstrated ability to query databases using SQL and knowledge of relevant data querying and analytical tools such as R, SPSS, Python, or SQL.
Expertise in advanced data analysis, applying appropriate statistical and visualization methods using R, Python, KNIME, MS Power BI, or similar tools.
English language skills(C-level, written and spoken). French will be an advantage.
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