Remote Chemical Process Optimization Specialist

Our client is looking for a talented Remote Chemical Process Optimization Specialist to join their forward-thinking team, supporting operations across various locations including Stellenbosch. This role is designed for an expert who can analyze complex chemical processes, identify inefficiencies, and develop data-driven strategies for improvement, all from a remote work setup. You will leverage advanced analytical tools and modeling software to enhance yield, reduce energy consumption, and minimize waste.

The ideal candidate thrives on solving intricate problems, possesses exceptional analytical capabilities, and excels in communicating findings and recommendations effectively in a virtual environment.

• Analyze process data to identify key performance indicators (KPIs) and areas for optimization.
• Develop and implement data-driven strategies to improve process efficiency, yield, and throughput.
• Utilize process simulation and modeling tools to predict and evaluate the impact of changes.
• Collaborate virtually with on-site engineering and operations teams to guide implementation of improvements.
• Prepare detailed reports and presentations on optimization findings and recommendations.
• Monitor process performance remotely and provide ongoing support and adjustments as needed.

• Master's degree or PhD in Chemical Engineering or a related quantitative field.
• Minimum of 5 years of experience in process analysis, optimization, and modeling.
• Proficiency with process simulation software (e.g., Aspen Plus) and data analysis tools (e.g., Python, R).
• Strong understanding of statistical analysis, experimental design, and root cause analysis.
• Excellent remote communication and collaboration skills.
• Ability to work independently and manage multiple projects simultaneously.

• Competitive salary and performance-based incentives.
• Comprehensive health and wellness benefits package.
• Significant professional development opportunities.
• Fully remote work arrangement with flexible hours.
• Opportunity to work on diverse and challenging optimization projects globally.