Process and Equipment Monitoring Engineer
4 weeks ago
INVISTA is seeking a highly skilled Process and Equipment Monitoring Engineer to join our team in Houston, Texas. This role will be based at the Houston Propylene plant, supporting both the Houston and Longview sites.
The INVISTA Propylene Monitoring team is responsible for asset reliability and production of propylene and polypropylene by developing and maintaining equipment and process monitoring models to detect anomalies and collaborate with sites to respond to anomalies, enabling proactive failure prevention.
This role will be primarily focused on model building as you become the modeling SME for the Propylene Monitoring Team. As a member of the Transformation organization, you will be expected to continuously innovate and improve our processes, systems, and yourself to stay competitive in our business.
Key Responsibilities:
- Utilizing data analysis techniques and process/equipment knowledge, build monitoring models in various platforms to automatically detect process and asset anomalies, predict failures, and inform decision-making to prevent or mitigate equipment failures and lost production.
- Work with reliability and process SMEs to prioritize monitoring opportunities and build high-quality and actionable models.
- Document model design and assumptions for models built and incorporate lessons learned into model quality guidelines.
- Seek opportunities to apply advanced and innovative modeling techniques and create relationships with third parties to build knowledge and mutually benefit from best practices.
- Continue to improve and apply skills in data analytics and modeling.
Requirements:
- Bachelor's degree in Chemical or Mechanical Engineering with at least 3-5 years of chemical/industrial experience or High School Diploma with at least ten (10) years of process or reliability experience in rotating or instrumentation.
- At least 2 years of relevant experience in investigating and/or troubleshooting process and equipment anomalies (early failures, adverse process conditions, etc.).
- Highly organized and contribution-motivated individual who is personally driven to develop expertise in data analytics, share best practices internally and externally, and continuously innovate to create value for the propylene business.
- Experience with model deployment (design, build, test, implement) in platforms such as SEEQ, Prometheus APM, OSI PI Asset Framework in a chemical/refining environment.
- Ability to travel 10-20% of time.
Preferred Qualifications:
- Expertise and/or certification related to predictive data analytics (applied AI analytics/machine learning, regression, time series forecasting, python coding).
- Knowledge and understanding of asset reliability fundamentals (rotating, fixed, electrical, instrumentation, analyzers, process control systems).
At INVISTA, we are committed to creating a workplace that is inclusive, diverse, and rewarding. We offer a comprehensive benefits package, including medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance.
We are an Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information.
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