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Data ScientistSundus Gulf • Abu Dhabi, United Arab Emirates
Data Scientist

Data Scientist

Sundus Gulf • Abu Dhabi, United Arab Emirates
منذ يوم 1
نوع الوظيفة
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الوصف الوظيفي

Job Code: 6230

Position: Data Scientist

Location: Abu Dhabi

Client: Government

Role Type: 1 year and renewable

Experience: 5+ years of experience in data science or analytics

Languages: Arabic, English

Education: Bachelor's or Master's degree in Data Science, AI, Statistics, or a related field

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

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

1.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.

2. 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.

3. Data Preparation & Feature Engineering

  • Prepare data through extraction, cleaning, preprocessing, and feature engineering.
  • Ensure data quality and integrity for reliable model performance.

4. Model Deployment & Monitoring

  • Deploy models into production and monitor performance for drift or degradation.
  • Continuously improve models based on feedback and new data.

5. 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.

6. 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.

Requirements

Education & Experience

Bachelor's or Master's degree in Data Science, AI, Statistics, or a related field . 5+ years of experience in data science or analytics
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