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

Data Scientist (Arabic)

Key Skills

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