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Placements24 is seeking a Remote Chemical Process Optimization Specialist to analyze and improve chemical processes across sites. You will leverage data-driven methods and APC strategies to enhance yield, efficiency, and cost-effectiveness, working with distributed teams in a remote-first setup.
The role requires a Master’s in Chemical Engineering, 6+ years in process optimization, and experience with Aspen Plus/Chemcad, Python or R, and machine learning approaches.
Our client, a forward-thinking chemical technology company, is seeking a highly skilled and self-motivated Remote Chemical Process Optimization Specialist to join their distributed engineering team. This is a fully remote position, allowing you to contribute to critical projects from anywhere. The primary focus of this role is to analyze existing chemical processes, identify areas for improvement, and implement data-driven strategies to enhance efficiency, yield, and cost-effectiveness. The ideal candidate will possess strong analytical skills, expertise in process modeling and simulation, and a proven ability to troubleshoot complex operational challenges remotely. You will leverage digital tools and advanced analytics to drive process improvements across various manufacturing sites. This is an exceptional opportunity for an experienced professional looking for a flexible, remote-first role in the chemical industry.
This is a fully remote position offering significant flexibility and autonomy. Our client provides a competitive salary and benefits package, including health insurance, retirement contributions, and opportunities for professional development. You will have the chance to work on diverse and challenging optimization projects for a leading chemical company, contributing to significant operational improvements. The role is ideal for someone seeking to advance their career in process optimization without the need for relocation or daily commutes. Enjoy the benefits of a work-life balance while making a substantial impact on our client's success.