Pipeline Predictive Model Developer
2 weeks ago
Job Overview:We're seeking a skilled Data Scientist to develop and deploy advanced predictive models that approximate complex physics simulations for oil & gas pipeline networks.Design and implement deep learning architectures to model flow dynamics in interconnected pipeline systems.Build surrogate models that accurately forecast pressure distributions, flow rates, and network behavior under various operational scenarios.Create data pipelines to extract network topology and simulation results from physics-based models and transform them into graph representations.Develop training frameworks that incorporate physics constraints into machine learning loss functions.Collaborate with petroleum engineers to ensure model predictions align with physical behavior and operational constraints.Implement model monitoring, validation, and continuous improvement workflows.About the Role:This is a challenging opportunity for a seasoned data scientist to drive innovation in our pipeline operations. The ideal candidate will have expertise in developing and deploying predictive models, as well as collaborating with cross-functional teams.Responsibilities:Design and develop predictive models using deep learning techniques.Collaborate with petroleum engineers to ensure model accuracy and alignment with operational requirements.Develop and maintain data pipelines to support model training and deployment.Monitor and improve model performance through ongoing testing and validation.Communicate results and insights to stakeholders across the organization.What We Offer:A competitive compensation package, opportunities for career growth and development, and a dynamic work environment that fosters collaboration and innovation.
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