Data Scientist – Python Programmer / Mining Efficiency & Automation

Filled
June 20, 2025
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Job Description

About the Role:
We are seeking a skilled Data Scientist with strong Python programming skills and domain knowledge in mining operations to join our data-driven innovation team. This role focuses on using advanced analytics, automation, and machine learning to improve operational efficiency, reduce costs, and enhance decision-making in mining and extractive industries.

As a key member of the Mining Analytics & Automation unit, you will work with geotechnical engineers, operations managers, and automation specialists to design scalable data solutions that optimize processes like equipment utilization, energy consumption, production forecasting, and safety.

Key Responsibilities:

  • Analyze large datasets from mining operations, equipment sensors (IoT), and enterprise systems to uncover inefficiencies and improvement opportunities
  • Develop and deploy Python-based tools, scripts, and models for process automation, predictive maintenance, and performance optimization
  • Collaborate with operations teams to identify KPIs, design experiments, and validate model outputs
  • Build dashboards and automated reporting solutions for continuous operational monitoring
  • Apply machine learning or statistical techniques for time series forecasting, anomaly detection, and root cause analysis
  • Clean, structure, and transform complex data from SCADA, MES, PLC, and ERP systems
  • Document methodologies and support model integration into production environments

Required Qualifications:

  • Bachelor’s or Master’s degree in Data Science, Mining Engineering, Computer Science, or a related field
  • 3–6 years of experience in data science, automation, or mining/industrial analytics
  • Proficient in Python (pandas, NumPy, scikit-learn, matplotlib, etc.) and SQL
  • Hands-on experience with mining systems (e.g., MineStar, GEOVIA, or Pitram) or industrial automation tools
  • Familiarity with time series analysis, optimization algorithms, and sensor data modeling
  • Strong understanding of data pipelines, ETL processes, and visualization tools (Power BI, Plotly, Dash, etc.)

Preferred Qualifications:

  • Experience with cloud platforms (Azure, AWS, GCP) and containerized deployment (Docker)
  • Familiarity with edge computing, IoT protocols, or OPC-UA standards
  • Understanding of lean mining principles and digital twin implementations
  • Experience with open-pit or underground mining operations and fleet analytics
  • Exposure to simulation and modeling tools (Arena, Simio, AnyLogic) is a plus

What We Offer:

  • Competitive compensation with annual performance bonuses
  • Work with cutting-edge analytics and automation in a high-impact industry
  • Remote-friendly and field-based flexibility
  • Access to industry certifications, trainings, and conferences
  • Collaborative, safety-first, and innovation-driven team culture

How to Apply:
📩 Submit your resume and any relevant project portfolio, GitHub link, or case studies to: mininganalytics-careers@[yourcompany].com
Subject: Application – Data Scientist (Python / Mining Automation) – [Your Name]
🗓️ Applications accepted on a rolling basis