Principal Specialist Data Science & Artificial Intelligence

About the Role

Maaden is seeking a Principal Specialist in Data Science & Artificial Intelligence to lead advanced data science and analytics initiatives within the Agentic AI department. This full-time role, based in Saudi Arabia, focuses on translating complex business problems into scalable analytical solutions, AI-enabled insights, predictive models, and decision intelligence products. The Principal Specialist will contribute to building enterprise capabilities that leverage trusted data, machine learning, automation, and agentic AI concepts to enhance productivity, operational performance, and business decision-making.

Key Responsibilities

• Translate business priorities, operational challenges, and use cases into clear data science problem statements, analytical approaches, and measurable outcomes.
• Design and deliver predictive, prescriptive, diagnostic, and exploratory analytics solutions that support decision-making across business and operational domains.
• Develop machine learning models, statistical analyses, simulations, optimization approaches, and advanced analytics products using enterprise data assets.
• Support the development of agentic AI use cases by defining data, model, workflow, evaluation, and decision-support requirements.
• Collaborate with AI engineers, platform teams, data engineers, and business stakeholders to embed analytics and machine learning into autonomous or semi-autonomous workflows.
• Create reusable analytical assets, data science patterns, feature logic, model components, and decision intelligence products that can scale across business domains.
• Apply appropriate data science governance practices for model validation, performance monitoring, bias checks, versioning, deployment readiness, and lifecycle management.
• Provide expert guidance to analysts, data scientists, engineers, and business teams on analytical methods, model design, evaluation, and adoption.
• Advise stakeholders on what analytics or AI can realistically solve, required data readiness, implementation complexity, and expected value.

Success Factors

Success in this role is measured by the effective translation of business problems into clear data science use cases and measurable value outcomes. It includes the delivery of predictive, prescriptive, and decision intelligence solutions with strong technical quality and practical business relevance. The role also involves supporting agentic AI use cases with trusted data, robust models, evaluation methods, controls, and human oversight. Ensuring that analytics and AI products are reusable, documented, governed, monitored, and aligned with responsible AI expectations is critical. Finally, providing clear insights, recommendations, and decision support to stakeholders that improve productivity, performance, and adoption is a key indicator of success.

Qualifications and Experience

• Bachelor’s Degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, Information Systems, or a related discipline. A Master’s Degree is preferred.
• Minimum of 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.

Application Process

Candidates who meet the specified qualifications and experience are encouraged to apply for this full-time position.