Data Scientist

About the Role:

We are seeking a highly skilled Data Scientist to join our team in Dubai. The role focuses on leveraging machine learning, large language models (LLMs), retrieval-augmented generation (RAG), and Python to drive data-driven solutions. The ideal candidate will have 5-8 years of experience in developing and deploying advanced analytics and AI applications. You will collaborate with cross-functional teams to translate business requirements into scalable models and insights.

Responsibilities:

• Design and develop machine learning models and LLM-based solutions for business use cases
• Implement retrieval-augmented generation (RAG) pipelines integrating external knowledge sources with LLMs
• Write clean, efficient Python code for data processing, modeling, and deployment
• Perform exploratory data analysis, feature engineering, and statistical analysis
• Collaborate with product, engineering, and business stakeholders to define requirements and deliverables
• Deploy and monitor models in production environments, optimizing performance and ensuring reliability
• Document methodologies, results, and best practices
• Mentor and review the work of junior data scientists

Required Qualifications:

• 5-8 years of professional experience as a Data Scientist or similar role
• Strong proficiency in Python and libraries such as pandas, NumPy, and scikit-learn
• Hands-on experience with machine learning frameworks like TensorFlow or PyTorch
• Proven track record of developing and fine-tuning large language models (LLMs)
• Experience implementing retrieval-augmented generation (RAG) workflows and APIs
• Solid understanding of statistics, data analysis, and feature engineering
• Expertise in data collection, cleaning, and preprocessing for large datasets
• Ability to translate business problems into analytical solutions

Preferred Qualifications:

• Advanced degree (MSc or PhD) in Computer Science, Data Science, Engineering, or related field
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps tooling (Docker, Kubernetes, CI/CD)
• Familiarity with big data technologies such as Spark or Hadoop
• Proficiency in SQL and experience with data warehousing solutions
• Excellent communication skills with the ability to present complex findings to non-technical audiences
• Leadership or team management experience in data science projects