Responsible for developing, maintaining, and enhancing LP models to ensure they remain accurate, current, and fit‑for‑purpose for Economists.
Partner with Manufacturing Site Engagement Leads to identify, investigate and analyze modeling opportunities that improve molecule management and profitability.
Responsible for implementing LP model changes, including scoping, developing modeling solutions, evaluating expected economic impacts, and supporting the model Management of Change process.
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We are seeking an experienced engineer to provide global support for our Petrochemical businesses, with a focus on production planning optimization. The ideal candidate would have process knowledge / background in Olefins or Aromatics, enabling them to develop, sustain, and deploy work practices and technologies that ensure optimal model health for accurate crude and feedstock purchasing and run plan signals.
Key responsibilities include leveraging data analytics and visualization to drive informed business decisions and offering actionable recommendations to our manufacturing sites. This role is crucial in enhancing operational efficiency and supporting strategic objectives within the organization.
If you are passionate about data-driven decision-making and possess strong analytical skills, we invite you to apply.
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Develop and maintain simplified production planning models derived from detailed process simulations, ensuring accuracy and reliability for operational planning
Apply statistical and data-driven techniques (e.g. Design of Experiments, regression modelling) to generate robust and representative models
Use data analysis tools to evaluate input relationships, validate outputs, and ensure model quality (e.g. correlation analysis, validation plots)
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Develop and maintain simplified production planning models derived from detailed process simulations, ensuring accuracy and reliability for operational planning
Apply statistical and data-driven techniques (e.g. Design of Experiments, regression modelling) to generate robust and representative models
Use data analysis tools to evaluate input relationships, validate outputs, and ensure model quality (e.g. correlation analysis, validation plots)
...
We are seeking an experienced engineer to provide global support for our Petrochemical businesses, with a focus on production planning optimization. The ideal candidate would have process knowledge / background in Olefins or Aromatics, enabling them to develop, sustain, and deploy work practices and technologies that ensure optimal model health for accurate crude and feedstock purchasing and run plan signals.
Key responsibilities include leveraging data analytics and visualization to drive informed business decisions and offering actionable recommendations to our manufacturing sites. This role is crucial in enhancing operational efficiency and supporting strategic objectives within the organization.
If you are passionate about data-driven decision-making and possess strong analytical skills, we invite you to apply.
...