Data Scientist
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Key skills for this role
About the Role
Sundus is hiring a Data Scientist for a government client in Abu Dhabi on a 1-year renewable contract. The role involves developing predictive models, optimization solutions, and data-driven insights using Python, ML frameworks, and cloud platforms.
Key Skills for This Role
Responsibilities
- Analyze large datasets to identify trends and generate actionable insights for decision making and operational efficiency
- Communicate findings through visualizations and clear storytelling
- Develop and deploy machine learning models for use cases such as forecasting, optimization, and risk analysis
- Apply statistical and ML techniques to solve complex business problems
- Prepare data through extraction, cleaning, preprocessing, and feature engineering
- Ensure data quality and integrity for reliable model performance
- Deploy models into production and monitor performance for drift or degradation
- Continuously improve models based on feedback and new data
- Work with business teams to translate requirements into analytical solutions
- Collaborate with Data Engineering and Data Governance teams for end to end delivery
- Ensure all AI/ML activities comply with governance, privacy, and regulatory requirements
- Implement responsible and secure AI practices, including bias/fairness checks, explainability, model documentation, auditability
Requirements
- Bachelor’s or Master’s degree in Data Science, AI, Statistics, or a related field
- 5+ years of experience in data science or analytics
- 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 familiarity with MLOps practices (CI/CD, monitoring, retraining)
- Understanding of data pipelines and working with cloud data platforms (preferably Azure, Databricks)
- Strong knowledge of statistical analysis, predictive modelling, and data preprocessing techniques
- Experience with data visualization tools (Power BI, Tableau) for communicating insights
- Awareness of data governance, data quality, and AI governance principles
- Strong analytical, problem solving, and stakeholder engagement skills
- Arabic language proficiency
Full Job Posting
About The Role
- Client is looking for a skilled and motivated Data Scientist to develop advanced analytics and AI solutions that drive business value.
- This role will focus on building predictive models, optimization solutions, and data driven insights to support operational and strategic decision making across the organization.
- The ideal candidate will combine strong analytical capabilities with business understanding to translate complex data into actionable insights.
Key Responsibilities
- Data Analysis & Insight Generation: Analyze large datasets to identify trends and generate actionable insights for decision making and operational efficiency.
- Communicate findings through visualizations and clear storytelling.
- Machine Learning & Model Development: Develop and deploy machine learning models for use cases such as forecasting, optimization, and risk analysis.
- Apply statistical and ML techniques to solve complex business problems.
- Data Preparation & Feature Engineering: Prepare data through extraction, cleaning, preprocessing, and feature engineering.
- Ensure data quality and integrity for reliable model performance.
- Model Deployment & Monitoring: Deploy models into production and monitor performance for drift or degradation.
- Continuously improve models based on feedback and new data.
- Collaboration & Stakeholder Engagement: Work with business teams to translate requirements into analytical solutions.
- Collaborate with Data Engineering and Data Governance teams for end to end delivery.
- AI Governance: Ensure all AI/ML activities comply with governance, privacy, and regulatory requirements by following defined lifecycle processes, risk classification, and using approved, governed data.
- Implement responsible and secure AI practices, including bias/fairness checks, explainability, model documentation, auditability, and collaboration with cybersecurity and data governance teams.
Skills & 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 familiarity with MLOps practices (CI/CD, monitoring, retraining)
- Understanding of data pipelines and working with cloud data platforms (preferably Azure, Databricks)
- Strong knowledge of statistical analysis, predictive modelling, and data preprocessing techniques
- Experience with data visualization tools (Power BI, Tableau) for communicating insights
- Awareness of data governance, data quality, and AI governance principles
- Strong analytical, problem solving, and stakeholder engagement skills
Requirements
- Bachelor’s or Master’s degree in Data Science, AI, Statistics, or a related field
- 5+ years of experience in data science or analytics
- Arabic language proficiency
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