Process and Analytics Engineer

Koch•Wichita, KS

15d•Onsite

About The Position

Koch Ag and Energy Solutions is looking for a Process and Analytics Engineer to join our KAES Monitoring and Diagnostics Capability to advance application of technology in the process and equipment heath space. The KAES Monitoring & Diagnostics Capability is a cross-site partnership with KAES’s operating facilities, providing collaboration and support across multiple disciplines of expertise to automatically detect process and equipment performance deviations in real time. This role will work with internal customers in business, technical and operations teams applying engineering knowledge and data analytics to solve business problems and enable faster and more informed decisions through broader and deeper processes or equipment analysis.

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%

Nice To Haves

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

Responsibilities

Partnering with internal customers to understand business problems and apply engineering and analytical solutions and developing collaborative workflows that enable better/faster decisions
Supporting anomaly detection monitoring efforts through creation and improvement of complex empirical and engineering models in partnership with technical SMEs and monitoring team
Use tools like PI Asset Framework and PI Vision to develop monitoring tools
Apply more complex analytical methods such as HYSYS, Advanced Pattern Recognition, Machine Learning and scripting (R, python) as needed to meet functional needs
Support and train base organization and SMEs with analytical tools such as Pi Asset Framework, Seeq, HYSYS online
Coordinate with 3rd party contractors through larger build-out and execution efforts
Partnering with IT capabilities to refine analytical and data systems to meet expanding needs
Screening detected process and equipment performance anomalies and communicating issues to sites