Process and Analytics Engineer

About the role

The Process and Analytics Engineer will join the KAES Monitoring and Diagnostics Capability to advance the application of technology in the process and equipment health space. This role is based at our main campus in Wichita, Kansas.

Responsibilities

• Partnering with internal customers to understand business problems and apply engineering and analytical solutions
• Sustaining anomaly detection monitoring efforts through creation and improvement of complex empirical and engineering models in partnership with technical SMEs and monitoring team
• Applying more complex analytical methods such as HYSYS, Advanced Pattern Recognition, Machine Learning and scripting (R, python) as needed to meet functional needs
• Supporting and training base organization and SMEs with analytical tools such as PI Asset Framework, Seeq, HYSYS online
• Collaborating with 3rd party contractors through larger build-out and execution efforts
• Screwing detected process and equipment performance anomalies and communicating issues to sites

Requirements

• Process or reliability industry experience working with refinery, chemical, or related process equipment technologies
• Demonstrated ability to read and interpret process and equipment performance data (examples: root-cause investigations, basic statistical trending)
• Demonstrated working knowledge of industrial data systems (e.g., OSIsoft PI/PI AF, data historians)
• Willing and able to travel up to 10%

Qualifications

• 4+ years of process industry experience in operations, reliability, process engineering, or monitoring/diagnostics roles
• Bachelor’s degree in Chemical Engineering (preferred)
• Hands-on experience developing production analytics or data solutions
• Experience working within Agile delivery teams and executing experiments or iterative pilots