Lead Specialist, Data Science & Analytics II
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Key skills for this role
About the Role
Ma'aden is seeking a Lead Specialist in Data Science & Analytics to drive development and scaling of ML/AI solutions across mining and enterprise functions. The role involves leading end-to-end data science delivery, translating business needs into analytics solutions, and ensuring responsible AI governance.
Key Skills for This Role
Responsibilities
- Lead end to end data science delivery from problem framing to model deployment and MLOps handover
- Translate business needs into AI/analytics solutions by engaging stakeholders and building value hypotheses
- Industrialize AI/ML models through MLOps and architecture partnership with data engineering and cloud teams
- Ensure responsible AI, quality, and governance compliance
- Communicate insights and recommendations to decision makers using compelling narratives
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field
- 6+ years experience in Data Science / Advanced Analytics, with industrial, mining, or heavy asset environments preferred
- At least 2 years leading or mentoring analytics professionals
- Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS)
- Hands on experience developing and deploying machine learning models including time series forecasting and predictive modeling
- Practical experience with Generative AI solutions including copilots and agent based workflows
Full Job Posting
Job Purpose
- The Lead Specialist, Data Science & Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
- The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
Key Accountabilities
- Lead End to End Data Science Delivery: Own the full lifecycle of ML/AI initiatives from problem framing to MLOps handover.
- Translate Business Needs into AI/Analytics Solutions: Engage stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
- Industrialize AI/ML Models (ML Ops & Architecture): Partner with data engineering and cloud teams to embed models into enterprise systems.
- Responsible AI, Quality & Governance: Ensure compliance with Maaden’s Responsible AI, data quality, and data governance frameworks.
- Stakeholder Management & Value Realization: Communicate insights and track value realization.
Minimum Qualifications, Experience and Core Competencies
- Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.
- 6+ years’ experience in Data Science / Advanced Analytics with industrial, mining, or heavy asset environments preferred.
- At least 2 years leading or mentoring analytics professionals.
- Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS) – Microsoft AI Factory.
- Hands on experience developing and deploying machine learning models, including time series forecasting, predictive modeling, and optimization.
- Practical experience with Generative AI solutions, including copilots, intelligent automation, and agent based workflows.
- Experience with Microsoft Azure Data Platform, Databricks AI Platform, Microsoft AI Foundry / Microsoft AI Factory preferred.
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