Maaden

3 months ago

Principal Specialist, Data Science & Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Lead the end-to-end delivery of data science, AI, and advanced analytics initiatives across Maaden. Architect scalable analytics products, govern models, and drive adoption in mining, processing, and operations to deliver measurable business value.

Location: Riyadh

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Lead End-to-End Data Science Delivery: Develop, implement, and maintain databases and data collection systems; own the full lifecycle of ML/AI initiatives from problem framing to MLOps handover; deliver scalable, production-grade models aligned with data governance and AI standards; perform statistical analysis; identify patterns and build predictive models; create visualizations and communicate findings to stakeholders; design reliable data pipelines with data engineering; ensure data security and regulatory compliance; drive experimentation, versioning, and continuous improvement.
•Translate Business Needs into AI/Analytics Solutions: Establish frameworks to make data science accessible and scalable; engage stakeholders to identify value opportunities and convert them into analytics use cases; build value hypotheses, KPIs, and roadmaps in collaboration with leadership.
•Industrialize AI/ML Models (ML Ops & Architecture): Partner with data engineering and cloud/OT teams to embed models; set standards for deployment, testing, monitoring, drift handling, and governance; ensure integration into enterprise platforms and digital twins; leverage ML, optimization, and computer vision for performance and sustainability improvements.
•Responsible AI, Quality & Governance: Ensure compliance with Responsible AI, data quality, and governance frameworks; promote reproducibility, documentation, lineage tracking, and auditability; ensure transparency and continuous model governance.
•Stakeholder Management & Value Realization: Communicate insights and recommendations to decision-makers with compelling visuals; track value realization, adoption metrics, and operational impact.

Key Requirements

•Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.

Experience:8-10 yearsMiningIndustrialData analytics

Education:Bachelor's

Skills:LeadershipCommunicationStakeholder managementProblem-solving

Languages:English

Tech Stack:TensorFlowPyTorchAzureAWSDatabricksSQL

Company Brief

Maaden

Ma’aden (Saudi Arabian Mining Company) is a Riyadh‑based, state‑linked mining and metals group developing integrated value chains across gold, phosphate, aluminium, copper and industrial minerals to support Saudi Arabia’s industrial transformation and Vision 2030.

Industry: Mining & Metals

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Riyadh, Saudi Arabia

Founded: 1997

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Maaden

3 months ago

Principal Specialist, Data Science & Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Riyadh

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Lead End-to-End Data Science Delivery: Develop, implement, and maintain databases and data collection systems; own the full lifecycle of ML/AI initiatives from problem framing to MLOps handover; deliver scalable, production-grade models aligned with data governance and AI standards; perform statistical analysis; identify patterns and build predictive models; create visualizations and communicate findings to stakeholders; design reliable data pipelines with data engineering; ensure data security and regulatory compliance; drive experimentation, versioning, and continuous improvement.
•Translate Business Needs into AI/Analytics Solutions: Establish frameworks to make data science accessible and scalable; engage stakeholders to identify value opportunities and convert them into analytics use cases; build value hypotheses, KPIs, and roadmaps in collaboration with leadership.
•Industrialize AI/ML Models (ML Ops & Architecture): Partner with data engineering and cloud/OT teams to embed models; set standards for deployment, testing, monitoring, drift handling, and governance; ensure integration into enterprise platforms and digital twins; leverage ML, optimization, and computer vision for performance and sustainability improvements.
•Responsible AI, Quality & Governance: Ensure compliance with Responsible AI, data quality, and governance frameworks; promote reproducibility, documentation, lineage tracking, and auditability; ensure transparency and continuous model governance.
•Stakeholder Management & Value Realization: Communicate insights and recommendations to decision-makers with compelling visuals; track value realization, adoption metrics, and operational impact.

Key Requirements

•Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.

Experience:8-10 yearsMiningIndustrialData analytics

Education:Bachelor's

Skills:LeadershipCommunicationStakeholder managementProblem-solving

Languages:English

Tech Stack:TensorFlowPyTorchAzureAWSDatabricksSQL

Company Brief

Maaden

Industry: Mining & Metals

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Riyadh, Saudi Arabia

Founded: 1997

Glassdoor: 4.0

Website LinkedIn Glassdoor