The company, 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. We are pleased to share an exciting opportunity for the position of Manager, Data Science & Analytics.
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The Data Science & Analytics Manager is responsible for overseeing the end-to-end execution of data science and advanced analytics initiatives that support the company’s operational and business objectives. The role ensures that data science projects are delivered with high quality, reliability, and measurable impact by managing workflows, coordinating cross-functional stakeholders, and maintaining strong alignment with enterprise data, AI, and governance standards.
As an operational leader, the Manager translates business needs into actionable analytical work, supervises the development of models, analytical products, and data pipelines, and ensures their successful deployment and adoption across functions. This role plays a critical part in embedding data-driven decision-making within production, maintenance, supply chain, engineering, and other business units by enabling teams to access trusted insights, robust analytical tools, and fit-for-purpose ML/AI solutions.
Responsibilities
- Manage end-to-end data science delivery, overseeing the development, implementation, and maintenance of databases and data collection systems.
- Manage the lifecycle of ML/AI initiatives—supporting problem framing, data exploration, feature engineering, model development, validation, and preparation for MLOps deployment.
- Ensure delivery of scalable, production-ready models in alignment with enterprise data governance and AI standards.
- Conduct statistical analysis to interpret data insights and support decision-making.
- Develop predictive models and machine learning algorithms to forecast future outcomes as required.
- Partner with data engineering to design, operate, and maintain reliable data pipelines and analytical models, ensuring data accuracy, timeliness, and trustworthiness.
Requirements
- Bachelor’s degree in computer science, Engineering, Data Science, Mathematics, Applied Mathematics, or Physics.
- 10 – 12+ years’ experience in advanced analytics, ML/AI engineering, and industrial data science, including at least 4 years leading or mentoring analytics professionals.
- Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
- Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
- Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
Benefits
- Career Growth
- Competitive Salaries
- Comprehensive Package
- Inclusive Work Environment
- Work-Life Balance
- Employee wellness
Location: Riyadh, Saudi Arabia
