engineering analyst ii.

Our client, is further developing an Industry-leading Integrity Management Program which ensures our natural gas system assets are safe and reliable. The Integrity department is accountable for understanding the condition of our assets, confirming they are fit for continued use, or justifying replacement projects if they are nearing end of life.

This role resides in the Integrity Assessments & Risk - Facilities and Distribution (IAR-F&D) team. Facilities Integrity focuses on sites that connect multiple assets that supply gas to customers and perform functions such as increasing or decreasing pressure, as well as measuring and conditioning natural gas. The team estimates different Risks associated with these Facilities by utilizing Reliability Engineering concepts, Statistics/Mathematics and Risk management techniques. Each of the unique assets in these sites must be assessed to confirm they are safe and fit for continued service.

The specific role will have a focus on quantitative analysis related to probability of failure of assets and consequence of failures due to potential failures of the assets at critical facilities. This process requires the collection and review of relevant data, data quality assessments, data pattern and trend evaluation, model development and selection, results verification & validation and supporting decision-making by appropriate interpretations of findings.

Education: the candidates would be required to have at minimum an Engineering degree (Mechanical, Chemical or Electrical)

Technical skills:

- Experience in data analytics including data quality assessments.

- Experience in Python/Reliasoft/Matlab programming.

- Helpful but not mandatory:

-Experience in Machine Learning or AI.

o Experience with (reliability/statistical) modeling.

o Experience in working with Maximo/SAP.

Pay rate is between $30.00 - $32.00 per hour

Please send your resume in confidence to View email address on randstad.com

Advantages
-Experience in Machine Learning or AI.

o Experience with (reliability/statistical) modeling.

o Experience in working with Maximo/SAP.

Responsibilities
Our client, is further developing an Industry-leading Integrity Management Program which ensures our natural gas system assets are safe and reliable. The Integrity department is accountable for understanding the condition of our assets, confirming they are fit for continued use, or justifying replacement projects if they are nearing end of life.

This role resides in the Integrity Assessments & Risk - Facilities and Distribution (IAR-F&D) team. Facilities Integrity focuses on sites that connect multiple assets that supply gas to customers and perform functions such as increasing or decreasing pressure, as well as measuring and conditioning natural gas. The team estimates different Risks associated with these Facilities by utilizing Reliability Engineering concepts, Statistics/Mathematics and Risk management techniques. Each of the unique assets in these sites must be assessed to confirm they are safe and fit for continued service.

The specific role will have a focus on quantitative analysis related to probability of failure of assets and consequence of failures due to potential failures of the assets at critical facilities. This process requires the collection and review of relevant data, data quality assessments, data pattern and trend evaluation, model development and selection, results verification & validation and supporting decision-making by appropriate interpretations of findings.

Education: the candidates would be required to have at minimum an Engineering degree (Mechanical, Chemical or Electrical)

Technical skills:

- Experience in data analytics including data quality assessments.

- Experience in Python/Reliasoft/Matlab programming.

- Helpful but not mandatory:

-Experience in Machine Learning or AI.

o Experience with (reliability/statistical) modeling.

o Experience in working with Maximo/SAP.

Pay rate is between $30.00 - $32.00 per hour

Please send your resume in confidence to View email address on randstad.com

Qualifications
Education: the candidates would be required to have at minimum an Engineering degree (Mechanical, Chemical or Electrical)

- Experience in data analytics including data quality assessments.

- Experience in Python/Reliasoft/Matlab programming.

Summary
Our client, is further developing an Industry-leading Integrity Management Program which ensures our natural gas system assets are safe and reliable. The Integrity department is accountable for understanding the condition of our assets, confirming they are fit for continued use, or justifying replacement projects if they are nearing end of life.

This role resides in the Integrity Assessments & Risk - Facilities and Distribution (IAR-F&D) team. Facilities Integrity focuses on sites that connect multiple assets that supply gas to customers and perform functions such as increasing or decreasing pressure, as well as measuring and conditioning natural gas. The team estimates different Risks associated with these Facilities by utilizing Reliability Engineering concepts, Statistics/Mathematics and Risk management techniques. Each of the unique assets in these sites must be assessed to confirm they are safe and fit for continued service.

The specific role will have a focus on quantitative analysis related to probability of failure of assets and consequence of failures due to potential failures of the assets at critical facilities. This process requires the collection and review of relevant data, data quality assessments, data pattern and trend evaluation, model development and selection, results verification & validation and supporting decision-making by appropriate interpretations of findings.

Education: the candidates would be required to have at minimum an Engineering degree (Mechanical, Chemical or Electrical)

Technical skills:

- Experience in data analytics including data quality assessments.

- Experience in Python/Reliasoft/Matlab programming.

- Helpful but not mandatory:

-Experience in Machine Learning or AI.

o Experience with (reliability/statistical) modeling.

o Experience in working with Maximo/SAP.

Pay rate is between $30.00 - $32.00 per hour

Please send your resume in confidence to View email address on randstad.com

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to View email address on randstad.com to ensure their ability to fully participate in the interview process.

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