DIMP Model Engineer
New
I
IrthGas Distribution Integrity
Remote (US or Canada)Full-Time
SalaryCompetitive compensation package based on experience and qualifications.
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Job Details
- Required Skills
- Machine LearningAzureData scienceDatabricks
Requirements
- Strong depth in gas distribution integrity management (DIMP).
- Understanding of threat identification under 49 CFR Part 192, Subpart P.
- Experience with replacement prioritization from the operator, consultancy, regulator, or technology-vendor side.
- Experience with legacy material risk (cast iron, bare steel, vintage plastics, plastic embrittlement).
- Experience with leak survey, methane detection, or cross-bore programs.
- Proficiency in machine learning applied to physical asset data.
- Experience with time-series, survival, anomaly-detection, or classification models.
- Understanding of physics-based probabilistic modeling.
- Ability to work across multiple domains with curiosity and judgment.
- Capacity to produce explainable, calibrated, and defensible risk rankings.
Responsibilities
- Translate gas distribution threat frameworks into systematic identification methods.
- Integrate model inputs from diverse datasets across product offerings.
- Identify and document gaps, inconsistencies, and limitations in source data.
- Define, build, and validate risk models for gas distribution integrity.
- Support regulatory proceedings through defensible model outputs.
- Collaborate with subject-matter experts and design-partner operators.
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