Risk Model Engineer - Pipeline Integrity (Transmission)
New
I
Irth SolutionsOil and gas transmission
Remote within the United States or Canada, Working hours within approximately four hours of Central Time.Full-Time
Salary not disclosed
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Job Details
- Required Skills
- PythonMachine Learning
Requirements
- Experience with North American oil and gas transmission integrity management, including applicable standards and regulations such as ASME B31.8S, 49 CFR 192, CSA Z662, or equivalents.
- Familiarity with pipeline integrity management, threat identification, risk assessment, and integrity mitigation or remediation prioritization.
- Familiarity with transmission pipeline threats, including corrosion, cracking, and third-party damage.
- Experience developing, implementing, migrating, or validating probabilistic risk models for pipeline integrity or asset risk.
- Experience with in-line inspection (ILI) vendor data formats, data alignment, anomaly classification, and feature disposition.
- Familiarity with fitness-for-service and remaining-strength assessments, corrosion growth modeling, or fracture mechanics.
- Experience building or validating risk, reliability, or failure models for physical infrastructure.
- Familiarity with Monte Carlo simulation, structural reliability, uncertainty quantification, or related probabilistic methods.
- Experience applying machine learning to physical asset data, including time-series, survival, anomaly-detection, or classification problems.
- Experience with ArcGIS, PostGIS, linear referencing, or geospatial risk assessment.
- Python and sound software engineering practices, including testing, code review, and reproducibility.
- Experience preparing technical documentation and validation evidence for regulatory review, audits, or formal assessments.
- Comfort working with incomplete, inconsistent, or imperfect data and assessing whether models are defensible and validated.
Responsibilities
- Migrate existing probabilistic model code to the new risk management platform and validate results against the current production implementation.
- Integrate model inputs from diverse datasets across Irth’s product offerings.
- Extend threat coverage across transmission pipeline integrity domains, including corrosion, cracking, third-party damage, and outside forces.
- Design and build time-series, anomaly-detection, and geospatial models using inspection, sensor, maintenance, and related data.
- Implement industry-standard probabilistic risk models within the analytical layer and support customer-driven model development.
- Develop, evaluate, and present sensitivity analyses for model offerings.
- Validate model outputs against customer data, known outcomes, and applicable regulatory expectations.
- Partner with ML Ops and data engineering teams while owning model methodology, content, validation, and supporting evidence.
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