Data Scientist II performing analytics and modeling to improve fraud strategies at Truist. Engaging with stakeholders and developing data - driven solutions for risk management and business outcomes.
About the role
- 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.
Job title
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