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About the Principal Specialist, Data Science & Analytics Role

Maaden is seeking a Principal Specialist, Data Science & Analytics to serve as a technical leader and senior practitioner. This full-time role, based in Riyadh, will drive the development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across the organization. The position requires 5-10 years of experience and focuses on ensuring analytics products deliver measurable value across various business functions.

Role Overview and Responsibilities

The Principal Specialist will analyze data, extract insights, and build predictive models to support informed decision-making and problem-solving. This involves blending expertise in statistics, computer science, and business strategy to enhance operations and shape long-term strategies. Key responsibilities include leading end-to-end data science delivery, translating business needs into AI/Analytics solutions, industrializing AI/ML models, ensuring responsible AI practices, and managing stakeholders for value realization.

Core Responsibilities in Data Science Delivery

• Owning the full lifecycle of ML/AI initiatives, from problem framing to MLOps handover.
• Developing, implementing, and maintaining databases and data collection systems.
• Performing statistical analysis and applying data mining techniques to identify patterns and trends.
• Building predictive models and machine learning algorithms.
• Creating data visualizations and reports to communicate findings.
• Collaborating with cross-functional teams to understand business needs and provide data-driven solutions.
• Designing and maintaining reliable data pipelines and models in partnership with data engineering.
• Ensuring data security and compliance with relevant regulations.
• Driving experimentation, model versioning, automated retraining, and continuous improvement.

Translating Business Needs into AI/Analytics Solutions

• Establishing frameworks and operating models to make data science accessible and scalable.
• Engaging with stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
• Building value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with leadership and business teams.

Industrializing AI/ML Models and Governance

• Partnering with data engineering, data platforms, and architecture teams for model integration.
• Setting standards for production deployment, testing, monitoring, and lifecycle governance.
• Ensuring seamless integration of models into enterprise platforms and control systems.
• Ensuring compliance with Maaden’s Responsible AI, data quality, and data governance frameworks.
• Promoting reproducibility, documentation, lineage tracking, and auditability.
• Ensuring transparency, explainability, and continuous model governance.

Stakeholder Engagement and Value Realization

The Principal Specialist will communicate insights, results, risks, and recommendations to decision-makers through compelling narratives and visualizations. This includes tracking value realization, adoption metrics, and operational impact to ensure measurable benefits are achieved.