Lead Specialist, Data Science & Artificial Intelligence

Job description

Maaden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia’s economy by building a world-class, unique, and fully integrated mining value chain. This role leads advanced data science and analytics initiatives within the Agentic AI department, translating business problems into scalable analytical solutions, AI-enabled insights, predictive models, and decision intelligence products.

Requirements

• Bachelor’s Degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, Information Systems, or a related discipline. Master’s Degree is preferred. Minimum 10 years of experience in data science, advanced analytics, machine learning, AI solution delivery, decision intelligence, or data product development. Strong experience translating business requirements into analytical solutions, developing models, evaluating performance, and deploying analytics into operational workflows. Experience with agentic AI, generative AI, MLOps, responsible AI, cloud data platforms, or enterprise analytics environments is preferred
• Proficient in advanced data science, machine learning, statistical modeling, optimization, simulation, and predictive analytics
• Proficient in Agentic AI concepts, generative AI, decision intelligence, AI workflow design, and model evaluation
• Proficient in Python, SQL, analytics platforms, notebooks, visualization tools, cloud data platforms, and MLOps practices
• Proficient in data preparation, feature engineering, model validation, performance monitoring, drift detection, and lifecycle management
• Proficient in responsible AI, explainability, transparency, bias awareness, human oversight, and governance controls
• Proficient in data product thinking, reusable analytical assets, documentation, scalability, and operationalization
• Proficient in business problem framing, stakeholder advisory, insight storytelling, and value realization tracking
• Ability to coach teams, review analytical work, manage ambiguity, and communicate with technical and executive audiences

Skills