Remote Process Optimization Specialist - Mining Technology

Placements24; Upington; Hybrid; ZAR 1,000,000 - 1,600,000; Full time

Benefits offered by this job

Premium medical coverage

Retirement savings plans

Generous paid time off

Online courses & webinars

Remote work culture

Home office stipend

Job summary

Placements24 seeks a Remote Process Optimization Specialist for a global mining tech leader. Role centers on data analytics and AI-driven process improvements across operations worldwide, all from a remote location.

You will collaborate with on-site engineers, develop models, and contribute to digital twins, automation, and safety-aligned optimization. Requires advanced degree and 6+ years in mining process engineering with Python/R/MATLAB skills.

Qualifications

• Master's or PhD in a data-intensive quantitative field such as Chemical/Metallurgical/Process Engineering.
• Minimum 6 years in process engineering, optimization, or related roles in mining or heavy industry.
• Proficient in data analysis with Python, R, MATLAB or similar.
• Experience with process simulation software (Aspen Plus, HSC Chemistry) and data viz tools (Tableau, Power BI).
• Demonstrated use of statistics, ML, and AI to solve complex industry problems.
• Excellent communication, especially for remote collaboration.
• Self-motivated and able to work independently in a remote setting.
• Familiarity with cloud platforms and big data technologies is a plus.

Responsibilities

• Analyze operational data from mining processes to identify optimization opportunities.
• Develop and implement process models for simulation, forecasting, and performance improvement using analytics and AI/ML.
• Collaborate remotely with on-site engineers, geologists, and managers to implement solutions.
• Design tests for new control strategies to improve recovery, throughput and quality.
• Prepare reports and presentations on performance and recommendations.
• Stay updated on new technologies and best practices in mining optimization and automation.
• Contribute to digital twin models and analytics platforms.
• Share knowledge and train teams on optimization techniques.
• Ensure optimization aligns with safety, environmental and economic goals.
• Troubleshoot complex technical issues affecting process performance.

Skills

Data analytics

Python

R

MATLAB

Machine learning

AI/ML in mining

Remote collaboration

Cloud computing

Education

Master's degree in Chemical/Metallurgical/Process Engineering

PhD in a quantitative field

Tools

Aspen Plus

HSC Chemistry

Tableau

Power BI

Job description

About the Role

Our client, a global leader in developing and implementing cutting-edge mining technology solutions, is actively seeking a highly motivated and experienced Remote Process Optimization Specialist . This role is ideal for an individual passionate about leveraging data analytics and advanced technologies to improve efficiency and productivity across mining operations worldwide, all from a remote location. You will work collaboratively with diverse operational teams to analyze current processes, identify bottlenecks, and develop data-driven strategies for enhancement. This is an exciting opportunity to shape the future of mining efficiency through innovative technological applications, contributing significantly to sustainability and cost reduction.

Key Responsibilities

• Analyze operational data from various mining processes (e.g., comminution, flotation, leaching) to identify areas for optimization.
• Develop and implement models for process simulation, forecasting, and performance improvement using data analytics and AI/ML techniques.
• Collaborate remotely with on-site engineers, geologists, and operations managers to understand challenges and implement solutions.
• Design and test new process control strategies and algorithms to enhance recovery, throughput, and product quality.
• Develop clear and concise reports and presentations on process performance, optimization findings, and recommendations.
• Stay abreast of emerging technologies and best practices in mining process optimization and automation.
• Contribute to the development of digital twin models and advanced analytics platforms.
• Facilitate knowledge sharing and training on optimization techniques across the organization.
• Ensure that optimization efforts align with safety, environmental, and economic objectives.
• Troubleshoot and resolve complex technical issues related to process performance.

Requirements

• A Master's or PhD degree in Chemical Engineering, Metallurgical Engineering, Process Engineering, Data Science, or a related quantitative field.
• A minimum of 6 years of experience in process engineering, optimization, or a related role, preferably within the mining or heavy industry sector.
• Strong proficiency in data analysis tools and programming languages such as Python, R, MATLAB, or similar.
• Experience with process simulation software (e.g., Aspen Plus, HSC Chemistry) and/or data visualization tools (e.g., Tableau, Power BI).
• Demonstrated ability to apply statistical methods, machine learning, and AI to solve complex industrial problems.
• Excellent analytical, problem-solving, and critical thinking skills.
• Outstanding written and verbal communication skills, with proven ability to communicate technical concepts to diverse audiences remotely.
• Self-motivated, able to work independently with minimal supervision, and manage time effectively in a remote setting.
• Familiarity with cloud computing platforms and big data technologies is a plus.
• A passion for technology and innovation in the resource sector.

Benefits

This fully remote position offers a highly competitive salary package, along with significant opportunities for professional growth and advancement.

• premium medical coverage
• retirement savings plans
• generous paid time off
• online courses, webinars, and virtual conferences
• dynamic, innovative, and collaborative remote work culture, valuing employee well-being and work-life balance
• home office stipend