الرئيسية » Manager, Data Science & Analytics

Manager, Data Science & Analytics at Maaden المملكة العربية السعوديةn Mining الشركة

المنصب Manager, Data Science & Analytics
نُشر في 06 May 2026
انتهت الصلاحية 05 Jun 2026
الشركة Maaden المملكة العربية السعوديةn Mining الشركة
الموقع Riyadh | SA
نوع الوظيفة Full Time

الوصف الوظيفي:

أحدث معلومات الوظائف من Maaden المملكة العربية السعوديةn Mining الشركة لمنصب Manager, Data Science & Analytics. If the Manager, Data Science & Analytics الشاغرة في Riyadh تتوافق مع مؤهلاتك، يرجى تقديم أحدث طلب أو سيرة ذاتية مباشرة من خلال بوابة وظائف Jobkos المحدثة.

يرجى ملاحظة أن التقديم على وظيفة قد لا يكون سهلاً دائماً، حيث يجب على المرشحين الجدد استيفاء مؤهلات ومتطلبات معينة تحددها الشركة. نأمل أن تكون الفرصة المهنية في Maaden المملكة العربية السعوديةn Mining الشركة لمنصب Manager, Data Science & Analytics أدناه تتوافق مع مؤهلاتك.

Role Purpose

The Data Science & Analytics Manager is responsible for overseeing the end-to-end execution of data science and advanced analytics initiatives that support Maaden’s operational and business objectives. The role ensures that data science projects are delivered with high quality, reliability, and measurable impact by managing workflows, coordinating cross‑functional stakeholders, and maintaining strong alignment with enterprise data, AI, and governance standards.

As an operational leader, the Manager translates business needs into actionable analytical work, supervises the development of models, analytical products, and data pipelines, and ensures their successful deployment and adoption across functions. This role plays a critical part in embedding data‑driven decision‑making within production, maintenance, supply chain, engineering, and other business units by enabling teams to access trusted insights, robust analytical tools, and fit‑for‑purpose ML/AI solutions.

Through effective project management, quality oversight, and close collaboration with technical experts and business partners, the Data Science & Analytics Manager helps accelerate Maaden’s transition to a technology‑enabled, AI‑informed mining enterprise.

1. Manage End‑to‑End Data Science Delivery
  • Oversee the development, implementation, and maintenance of databases and data collection systems.
  • Manage the lifecycle of ML/AI initiatives—supporting problem framing, data exploration, feature engineering, model development, validation, and preparation for MLOps deployment.
  • Ensure delivery of scalable, production‑ready models in alignment with enterprise data governance and AI standards.
  • Conduct statistical analysis to interpret data insights and support decision‑making.
  • Apply data mining techniques to uncover patterns, trends, and relationships in large datasets.
  • Develop predictive models and machine learning algorithms to forecast future outcomes as required.
  • Create clear data visualizations, dashboards, and reports to effectively communicate findings to business stakeholders.
  • Collaborate with cross‑functional teams to understand business needs and translate them into data‑driven solutions.
  • Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins.
  • Stay updated on emerging techniques, tools, and technologies in data science and analytics.
  • Promote experimentation, model versioning, automated retraining, and continuous improvement processes.
  • Recommend enhancements to existing models and analytics workflows for greater efficiency and impact.
2. Data Operations
  • Partner with data engineering to design, operate, and maintain reliable data pipelines and analytical models, ensuring data accuracy, timeliness, and trustworthiness.
  • Monitor data quality, resolve data issues, and enforce data best practices across teams.
  • Support compliance with data security standards and relevant regulations.
  • Supervise the development and deployment of advanced ML models, predictive analytics, GenAI, and optimization solutions, consistent with responsibilities of analytics leadership roles.
  • Ensure technical rigor across the end‑to‑end ML lifecycle: scoping→ data engineering→ modeling→ validation→ MLOps→ monitoring.
  • Oversee production reliability, model drift management, and continuous improvement.
3. Team Leadership & Capability Building
  • Manage and grow a multi‑disciplinary team (Lead Specialists, Senior Specialists, Data Scientists). Roles under this manager are explicitly listed in the org structure.
  • Build technical excellence through coaching on ML, GenAI, statistics, feature engineering, and experimentation.
  • Foster a culture of innovation, peer review, and reusable modeling frameworks.
4. AI Governance, Quality & Standards
  • Steward high standards in model explainability, auditability, lineage, and risk management.
  • Drive compliance with enterprise data governance, PDPL, and model‑risk principles referenced in internal DS/AI qualification guidance.
  • Ensure adherence to Responsible AI requirements applicable to DS/AI roles (skills and qualifications guidance).
  • Enforce data quality standards, lineage, and reproducibility across the team’s projects.
  • Support alignment with enterprise governance frameworks, including PDPL compliance.
Minimum Qualifications

Bachelor’s degree in computer science, Engineering, Data Science, Mathematics, Applied Mathematics, or Physics.

Minimum Experience
  • 10 – 12+ years’ experience in advanced analytics, ML/AI engineering, and industrial data science.
  • Including at least 4 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.
  • 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.
  • Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
  • Proven record of enabling cross‑functional business impact through scalable, production‑grade data science solutions.
Maaden High-Performance Competencies Core Competencies
  • Value realization from ML/analytics initiatives (impact delivered vs. target).
  • On‑time delivery of analytics roadmap.
  • Adoption rate and integration of solutions into business workflows.
  • Model performance stability (drift incidents, uptime).
  • Team capability maturity and talent development indicators.
Skills
  • Machine Learning & AI Leadership
  • Programming Expertise
  • Generative AI Proficiency
  • Strong Analytical & Statistical Skills
  • Business Strategy & Product Thinking
  • Ethics, Governance & Responsible AI
  • Leadership & People Management
#J-18808-Ljbffr

معلومات الوظيفة:

  • الشركة: Maaden المملكة العربية السعوديةn Mining الشركة
  • المنصب: Manager, Data Science & Analytics
  • مكان العمل: Riyadh
  • الدولة: SA

كيفية تقديم الطلب:

بعد قراءة وفهم المعايير ومتطلبات الحد الأدنى من المؤهلات الموضحة في معلومات الوظيفة Manager, Data Science & Analytics at the office Riyadh أعلاه، أكمل فوراً ملفات طلب الوظيفة مثل خطاب التقديم، السيرة الذاتية، نسخة من الشهادة الجامعية، كشف الدرجات، والملاحق الأخرى كما هو موضح أعلاه. أرسلها عبر رابط الصفحة التالية أدناه.

انتهت صلاحية هذا الإعلان الوظيفي (منذ أكثر من 30 يوماً).
يرجى البحث عن أحدث فرص العمل على موقعنا الصفحة الرئيسية.

وظائف شاغرة مماثلة

  Consultant Pediatric Anesthesiologist - Alالموقع Assist Middle East - المملكة العربية السعودية at Alالموقع Assist Middle East
نُشر في: 1 hour ago

الوصف: Consultant Pediatric AnesthesiologistAlالموقع Assist Middle East – المملكة العربية السعوديةالمنصب Overview: Consultant Pediatric Anesthesiologist job in المملكة العربية السعودية with Alالموقع Assist Middle East, focuse...

الشركة: Alالموقع Assist Middle East | الموقع: Riyadh
  Senior Systems Engineer, Mid Market, KSA at Nutanix
نُشر في: 1 hour ago

الوصف: Are you an experienced Systems Engineer with a strong background in data center and cloud solutions, excellent presales skills, and a passion for customer engagement? If so, you will thrive in our col...

الشركة: Nutanix | الموقع: Riyadh
  مجمع البحث عن وظائف 2026
من نحن
سياسة الخصوصية
إخلاء المسؤولية
الشروط والأحكام
اتصل بنا
إرسال ملف XML

© Jobkos

  من خلال زيارة موقع Jobkos أو عرض أو الوصول إلى أو استخدام أي من الخدمات أو المعلومات التي تم إنشاؤها أو جمعها أو تجميعها أو إرسالها إلى Jobkos، فإنك توافق على الالتزام بشروط وأحكام الخدمة التالية.
تم الإنشاء بواسطة Jobkos | | | |