Job Title: Data Scientist Population & Demographic ModelingRole Overview
The Data Scientist will lead the development and management of population and demographic models to forecast demographic dynamics and support long-term strategic planning. The role complements economic modeling by applying advanced data science, machine learning, and forecasting techniques to strengthen economic foresight, scenario planning, and policy decision-making within the Strategic Foresight Department.
Key Roles & Responsibilities
- Design, develop, and maintain population and demographic models (e.g., cohort-component models) to project fertility, mortality, and migration trends.
- Lead demographic data analysis using census, survey, administrative, and alternative data sources.
- Build and manage scalable data pipelines integrating multi-source demographic and economic datasets.
- Support macroeconomic modeling and forecasting through advanced statistical, econometric, and machine learning techniques.
- Collaborate with economists, foresight researchers, and scenario planners to integrate demographic and economic projections into foresight scenarios.
- Produce population outlooks, trend analyses, and interactive dashboards to inform government planning and policy development.
- Ensure data quality, model transparency, validation, and reproducibility.
- Maintain comprehensive documentation of methodologies, assumptions, and analytical outputs.
- Provide technical training and knowledge transfer on population modeling and data science methods.
- Explore innovative approaches including AI/ML, big data, geospatial analysis, and simulation techniques to enhance forecasting accuracy.
- Ensure structured handover and sustainability of all analytical models and tools.
Qualifications
- Master's degree or PhD in Data Science, Statistics, Computer Science, Demography, or a related field.
- 4+ years of experience in population modeling, demographic forecasting, or applied data science.
- Demonstrated expertise in population modeling and demographic data analysis.
- Experience working with government, public sector entities, think tanks, or international organizations is strongly preferred.
- Experience working with large-scale, policy-driven datasets is an advantage.
Technical Competencies
- Proficiency in Python and/or R for statistical and demographic modeling.
- Strong experience with machine learning, simulation, and predictive analytics.
- Experience with cloud data platforms such as AWS, Azure, or CDP environments.
- Strong data management and querying skills (e.g., SQL).
- Proficiency in data visualization and dashboarding tools (e.g., Power BI, Tableau).
- Strong proficiency in Microsoft Office, especially Excel and PowerPoint for policy-oriented reporting.
Language Requirements
- Fluent in Arabic and English, both written and spoken.
Soft Skills
- Strong analytical, critical thinking, and problem-solving abilities.
- High attention to detail with a strong commitment to data integrity and research quality.
- Ability to collaborate effectively across multidisciplinary teams.
- Skilled at translating complex analytical findings into clear, actionable insights for policymakers.
- Innovative, adaptive, and curious, with a strong interest in emerging tools and methodologies.
Skills: advanced statistical,machine learning techniques,ai/ml,foresight scenarios,aws,geospatial analysis,cloud data,cdp environments,big data,azure,data quality,econometric,data pipelines,python
