About the Job
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 Lead Specialist, Data Science & Analytics.
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Role Purpose
The Lead Specialist, Data Science & Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across the company. The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
Responsibilities
- Lead end-to-end data science delivery by developing, implementing, and maintaining databases and data collection systems.
- Own the full lifecycle of ML/AI initiatives—from problem framing, data exploration, feature engineering, model development, validation, to MLOps handover.
- Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
- Analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems.
- Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions.
Minimum Qualifications
- Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.
- 5 – 8 years’ experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred, including at least 2 years leading or mentoring analytics professionals.
- Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
Skills
- Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
- 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
