Data Scientist - Machine Learning and AI - Dubai, UAE

• Solve business problems by designing and deploying machine learning and AI models.
• Implement production-ready generative AI systems to support data enrichment and automation.
• Own the full data value chain including logging, modeling, analysis, reporting, and experimentation.
• Collaborate with product and business teams to identify opportunities for data-driven improvements.
• Deliver insights and recommendations through analysis, automated reporting, and KPI design.
• Design and analyze experiments (A/B and multivariate testing).
• Develop data models to measure and interpret performance drivers.
• Mentor junior data scientists and contribute to internal training and knowledge-sharing.
• Support continuous improvement of tools, workflows, and data practices.

• Bachelor's degree in Computer Science, Engineering, or related fields (postgraduate degree preferred).
• 4+ years of experience in data science, machine learning, and generative AI.
• Hands-on expertise with ML/AI frameworks such as Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, Hugging Face.
• Strong SQL and Python or R for reproducible analysis.
• Experience with NLP, LLMs, and smart automation is an advantage.
• Familiarity with data modeling, pipeline development, and tools such as Airflow, BigQuery, and Google Cloud.
• Strong understanding of statistical methods, experiment design, and product data analysis.
• Excellent communication, collaboration, and problem-solving skills.
• Growth mindset with ownership and accountability.

• Work with the region's leading Q-commerce and food delivery platform.
• Engage in high-impact AI and machine learning projects.
• Collaborate with a diverse team of data scientists, engineers, and product experts.
• Competitive salary and opportunities for growth in a fast-moving digital environment.

• Solve business problems by designing and deploying machine learning and AI models.
• Implement production-ready generative AI systems to support data enrichment and automation.
• Own the full data value chain including logging, modeling, analysis, reporting, and experimentation.
• Collaborate with product and business teams to identify opportunities for data-driven improvements.
• Deliver insights and recommendations through analysis, automated reporting, and KPI design.
• Design and analyze experiments (A/B and multivariate testing).
• Develop data models to measure and interpret performance drivers.
• Mentor junior data scientists and contribute to internal training and knowledge-sharing.
• Support continuous improvement of tools, workflows, and data practices.

• Bachelor's degree in Computer Science, Engineering, or related fields (postgraduate degree preferred).
• 4+ years of experience in data science, machine learning, and generative AI.
• Hands-on expertise with ML/AI frameworks such as Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, Hugging Face.
• Strong SQL and Python or R for reproducible analysis.
• Experience with NLP, LLMs, and smart automation is an advantage.
• Familiarity with data modeling, pipeline development, and tools such as Airflow, BigQuery, and Google Cloud.
• Strong understanding of statistical methods, experiment design, and product data analysis.
• Excellent communication, collaboration, and problem-solving skills.
• Growth mindset with ownership and accountability.

• Work with the region's leading Q-commerce and food delivery platform.
• Engage in high-impact AI and machine learning projects.
• Collaborate with a diverse team of data scientists, engineers, and product experts.
• Competitive salary and opportunities for growth in a fast-moving digital environment.

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