Lead data-driven projects across public policy and economic domains.
Design, automate, and optimize data pipelines and analytical workflows.
Apply AI, ML, and geospatial techniques to extract insights from satellite imagery, trade, and macroeconomic data.
Develop and maintain interactive dashboards, ranking systems, and predictive models.
Translate technical results into clear, actionable policy recommendations.
Mentor junior data scientists and oversee code quality, documentation, and best practices.
Requirements
Masters degree in Computer Science or Data Science
Proven experience leading data projects or small teams
5+ years experience with Python
5+ years experience with SQL
5+ years experience with APIs
Experience with machine learning or predictive modelling
Experience building data pipelines or ETL processes
Experience with data visualization (Power BI, Tableau, or similar)
Excellent English communication skills
Nice-to-haves:
Experience with geospatial data (e.g., GIS, satellite imagery, GeoPandas, QGIS)
Experience with economic or policy-related datasets
Experience working in consulting or public sector projects
Knowledge of cloud platforms (AWS, GCP, or Azure)
Familiarity with TensorFlow or PyTorch
Master’s degree in Data Science, Economics, or related field
Benefits
Real influence and access – Shape national policy, competitiveness strategies, and sustainable growth plans while working directly with senior government officials, global institutions, and major corporations.
Room to innovate – If you see a better way, try it. We encourage new methods and actively pilot new technologies.
Cutting-edge tools – Work with AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms.
Structured growth – Learn from senior experts through hands-on mentoring and project-based skill transfer.
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