The client is a Government entity seeking a highly skilled and motivated Data Scientist to develop advanced analytics and AI solutions that drive business value. The role focuses on building predictive models, optimization solutions, and data-driven insights to support operational and strategic decision-making across the organization. The ideal candidate will possess strong analytical capabilities combined with business insight, allowing them to translate complex data into actionable insights.
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Key Responsibilities:
- Data Analysis & Insight Generation: Analyze large datasets to identify trends and generate actionable insights for decision-making and operational efficiency, communicating findings through visualizations and storytelling.
- Machine Learning & Model Development: Develop and deploy machine learning models for applications such as forecasting, optimization, and risk analysis, applying statistical and ML techniques to solve complex business problems.
- Data Preparation & Feature Engineering: Prepare data by extracting, cleaning, preprocessing, and feature engineering, ensuring data quality and integrity for reliable model performance.
- Model Deployment & Monitoring: Deploy models into production, monitor performance, and continuously improve models based on feedback and new data.
- Collaboration & Stakeholder Engagement: Work with business teams to translate requirements into analytical solutions and collaborate with Data Engineering and Data Governance teams for end-to-end delivery.
- AI Governance: Ensure compliance of all AI/ML activities with governance, privacy, and regulatory requirements while implementing responsible and secure AI practices.
Requirements:
- Education & Experience: Bachelor's or Master's degree in Data Science, AI, Statistics, or a related field with 5+ years of experience in data science or analytics.
Skills and Competencies:
- Strong programming skills in Python (preferred) or R, with experience in large-scale data processing (e.g., SQL, Spark).
- Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and end-to-end model development.
- Experience deploying models into production and knowledge of MLOps practices (CI/CD, monitoring, retraining).
- Familiarity with data pipelines and cloud data platforms (preferably Azure, Databricks).
- Strong knowledge of statistical analysis, predictive modeling, and data preprocessing techniques.
- Experience with data visualization tools (Power BI, Tableau) for communicating insights.
- Awareness of data governance principles and a strong understanding of AI governance.
- Excellent analytical, problem-solving, and stakeholder engagement skills.
Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Work Type: Full-time, On-site, 1 year (renewable)
Languages Required: Arabic, English
Job Code: 6230
