الملخص
تجمع Whiteshield بين الذكاء الاصطناعي والخبرة الاقتصادية لمعالجة تحديات السياسات. يقود مدير علوم البيانات المشاريع التحليلية وسير العمل المرتبط بالبيانات، ويستخدم تعلم الآلة والتحليل الجغرافي المكاني والنمذجة الاقتصادية. وتشمل المسؤوليات بناء خطوط البيانات ولوحات المعلومات والنماذج التنبؤية، وصياغة توصيات عملية للسياسات، وتوجيه علماء البيانات. يشترط مؤهل ماجستير في تخصص ذي صلة، وخبرة في قيادة المشاريع، وما لا يقل عن 5 سنوات في Python وSQL وواجهات API.
نص الإعلان
كما نُشر على whiteshield.ai. نقلناه من موقع صاحب العمل ونعرضه بنصّه الأصلي.
Whiteshield combines artificial intelligence with economic expertise to solve real policy challenges. Our AI Economics unit transforms complex data into actionable insights that shape how governments and businesses design policies, manage resources, and plan for growth.
Role Overview
As a Data Science Manager, you will lead analytical projects that integrate AI, machine learning, geospatial analysis, and economic modelling to drive evidence-based decision-making. You’ll manage end-to-end data workflows — from ideation to delivery — and work with a multidisciplinary team of data scientists, economists, and policy experts to build tools that have real impact.
Key Responsibilities
- 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.