Data Scientist (Arabic)

Job Title: Data Scientist – Population & Demographic Modeling Role 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