Modeling & Analytics Engineer

$72,000 - $115,000/Yr

Invista S A R L - Victoria, TX

posted about 2 months ago

Full-time - Entry Level
Onsite - Victoria, TX
Professional, Scientific, and Technical Services

About the position

INVISTA Victoria has an exciting opportunity within our Monitoring/Modeling Capability. If you are looking for a new challenge with the ability to advance applications of technology, look at the Modeling & Analytics Engineer role! This capability will evolve and grow through time so the ability to be flexible and adapt to business needs will be a key capability. A successful individual in this role must be willing to take personal initiative to understand unit operations, gain relevant knowledge, engage SMEs, and must be able to work both individually and as a part of a team in a dynamic environment. Our team is cross-site and partners with INVISTA's operating facilities, collaborating across multiple disciplines to identify and communicate anomalous operating behavior of our processes and associated equipment. The team applies technology with an enterprise-wide approach that drives transformational improvement in business performance by bringing actionable insights to the facilities. As we build and continue growing this team, we are looking for a diverse skillset of both technical discipline and experience level. In this role, you will build and maintain models that will automatically detect process and asset anomalies. You will seek opportunities to apply new technology and create relationships with third parties to mutually benefit from best practices. Your responsibilities will include creating and utilizing models and data analysis techniques to optimize plant operations, predict failures, and make informed decisions using anomaly detection systems. You will provide visibility and actionable insights to remove constraints that hinder asset and process performance, and communicate predictive asset failures and process performance deficiencies to the sites well before failure occurs. Collaboration with site teammates on chronic problems or large opportunities will be essential, as well as supporting the development of work processes and tools to effectively deliver value to our operating sites. You will apply technologies with an enterprise-wide approach that drives transformational improvement in business performance by bringing actionable insights to the plants, and work with SMEs to develop a strategic plan for model improvements for an asset or process technology.

Responsibilities

  • Build and maintain models that will 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 a strategic plan 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.
  • Experience in the process industry (understanding of chemical processes and associated equipment) OR experience with Analytics in a manufacturing setting or military equivalent.

Nice-to-haves

  • 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.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Flexible spending accounts
  • Health savings accounts
  • Life insurance
  • Accidental death and dismemberment insurance
  • Disability insurance
  • Retirement plan
  • Paid vacation/time off
  • Educational assistance
  • Infertility assistance
  • Paid parental leave
  • Adoption assistance
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