Preferred Qualifications

• Bachelor’s or Advanced degree (Master’s or Ph.D.) in Mathematics, Computer Science,Engineering, or a related field with a strong foundation in data science and machine learning
• 9+ years of hands-on Data Science experience with a proven record of independently deploying complex projects to production
• Expertise in predictive modeling, deep learning, advanced analytics, and the mathematical and statistical foundations of machine learning
• Exceptional Python coding skills and proficiency in SQL and relational databases (e.g.,MySQL, PostgreSQL)
• Extensive experience in Big Data technologies, cloud platforms, and developing custom algorithmic solutions beyond off-the-shelf models
• Understanding of AI ethics, governance, risk management, and compliance (GRC) standards
• Strong leadership and communication skills, with the ability to engage with stakeholders at all levels and manage cross-functional relationships
• Willingness to travel to the MENA region based on business needs
   

Responsibilities

• Lead and execute end-to-end data science projects, from conception to deployment,ensuring alignment with business objectives and timely delivery
• Collaborate with business stakeholders to define and scope data science initiatives thataddress complex challenges and drive value creation
• Implement and oversee data engineering for ML projects, including data extraction,validation, cleansing, processing, modeling and storage
• Analyze and interpret complex data sets to uncover trends and insights utilizing advancedvisualization tools to communicate findings to the stakeholders
• Apply and refine advanced machine learning algorithms and methods best suited to solvespecific business problems
• Maintain high standards of code quality and lead the engagements in adopting best practices in machine learning development
• Formulate and execute the organization's AI strategy, incorporating the latest industrytrends and ethical considerations
• Develop AI governance frameworks to promote responsible use of AI technologies
• Lead collaboration efforts with other team members and departments to achieve data science outcomes and manage multiple strategic initiatives
• Mentor and develop junior members of the team, fostering a culture of continuous learning and innovation