Data Scientist

Job Summary

INVISTA is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for building and maintaining models that automatically detect process and asset anomalies. You will also seek opportunities to apply new technology and create relationships with third parties to mutually benefit from best practices.

Key Responsibilities

• Build and maintain models that automatically detect process and asset anomalies.
• Seek opportunities to apply new technology and create relationships with third parties to mutually benefit from best practices.
• Create and utilize models and data analysis techniques to optimize plant operations, predict failures, and make informed decisions using anomaly detection systems.
• Provide visibility and actionable insights to remove constraints that hinder asset and process performance.
• Communicate predictive asset failures and process performance deficiencies to the sites well before failure occurs.
• Work together with site teammates on chronic problems or large opportunities where the combined skills of the team can help to solve problems.
• Support the development of work processes and tools to effectively deliver value to our operating sites.
• Apply technologies with an enterprise-wide approach that drives transformational improvement in business performance by bringing actionable insights to the plants.
• Work with SMEs to develop strategic plans for model improvements for an asset or process technology.
• Tactically review plant operation and issues for monitoring improvement opportunities.
• Understand current model coverage and gaps to vision state, feed opportunities into model development workflow.
• New model building in SEEQ, Pro APM, PI AF per opportunities in "model deployment" in model development workflow.

Requirements

• Bachelor's degree in Engineering, Data Science, Computer Science, or a related field OR experience with Analytics in a Process Industry.
• Experience in the process industry (understanding of chemical processes and associated equipment).
• This role is not eligible for Visa Sponsorship.

What Will Put You Ahead

• Knowledge and understanding of software and statistical methods for modeling.
• Experience with data management.
• Experience analyzing data utilizing computer software (i.e., Excel, PI).
• Knowledge and understanding of reliability fundamentals.