Principal Specialist Data Science & Artificial Intelligence

About the Role

Ma’aden is seeking a Principal Specialist, Data Science & Artificial Intelligence to lead advanced data science and analytics initiatives within the Agentic AI department. This full-time role focuses on translating business problems into scalable analytical solutions, AI-enabled insights, predictive models, and decision intelligence products. The 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.
• Partner with data platform, governance, and architecture teams to ensure data products are trusted, well-documented, reusable, and operationally maintainable.
• Apply appropriate data science governance practices for model validation, performance monitoring, bias checks, versioning, deployment readiness, and lifecycle management.
• Define success measures, impact metrics, adoption criteria, and benefit tracking approaches for analytics and AI-enabled solutions.
• 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.
• Communicate insights, risks, limitations, and recommended actions clearly to technical, operational, and executive stakeholders.

Qualifications and Experience

• A minimum of 10 years of experience in data science and artificial intelligence.
• Demonstrated ability to translate business problems into clear data science problem statements and analytical approaches.
• Experience in designing and delivering predictive, prescriptive, diagnostic, and exploratory analytics solutions.
• Proficiency in developing machine learning models, statistical analyses, simulations, and optimization approaches.
• Experience with data science governance practices, including model validation, performance monitoring, and lifecycle management.

Expected Outcomes

• Business problems are effectively translated into data science use cases with measurable value outcomes.
• Predictive, prescriptive, and decision intelligence solutions are delivered with high technical quality and business relevance.
• Agentic AI use cases are supported by robust models, evaluation methods, controls, and human oversight.
• Analytics and AI products are reusable, well-documented, governed, monitored, and compliant with responsible AI expectations.
• Stakeholders receive clear insights, recommendations, and decision support that enhance productivity and performance.