Data Scientist

About the Role:

We are seeking an experienced Data Scientist to join our Abu Dhabi team. In this role, you will leverage advanced data science and machine learning techniques to extract actionable insights, build predictive models, and drive strategic decision-making across the organization. You will collaborate with cross-functional teams, mentor junior analysts, and ensure the deployment of scalable solutions in a dynamic, fast-paced environment.

Responsibilities:

• Design, develop, and deploy machine learning models and predictive analytics solutions
• Analyze large and complex datasets to identify trends, patterns, and business opportunities
• Collaborate with stakeholders to define data requirements and translate business problems into analytical solutions
• Build and maintain data pipelines and ETL processes for model training and deployment
• Validate model performance, conduct A/B testing, and monitor models in production
• Communicate findings and recommendations through clear visualizations and presentations to both technical and non-technical audiences
• Mentor junior data scientists and analysts, providing technical guidance and best practices

Required Qualifications:

• 7–10 years of professional experience in data science or related roles
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
• Advanced proficiency in Python and relevant libraries (pandas, scikit-learn, TensorFlow/PyTorch)
• Strong grasp of machine learning algorithms, statistical modeling, and data mining techniques
• Hands-on experience with SQL and working knowledge of relational databases
• Proven ability to work with large datasets and build end-to-end data pipelines
• Excellent problem-solving skills and the ability to communicate complex technical concepts clearly

Preferred Qualifications:

• Master’s or PhD in Data Science, Machine Learning, or a related discipline
• Experience with cloud platforms such as AWS, Azure, or Google Cloud for data processing and model deployment
• Familiarity with big data frameworks (Apache Spark, Hadoop)
• Knowledge of MLOps practices, containerization (Docker, Kubernetes), and CI/CD pipelines
• Experience in domain-specific applications (e.g., finance, energy, or oil & gas)
• Proficiency with data visualization tools (Tableau, Power BI, D3.js)