Asset Analytics Engineer - Smart Signal & Predictive Modelling

<strong>Job Requirements </strong><br><p><strong>Focus:</strong> Tag Mapping, Model Training, and Analytics Lifecycle Management</p><p><strong>Role Overview:</strong> The Analytics Engineer is responsible for the end-to-end technical deployment of predictive models. Leveraging the Smart Signal platform (or equivalent), you will transform raw historian data into high-fidelity digital twins. Your focus is on the "Digital Architecture" of reliability—ensuring models are accurate, noise-free, and scalable.</p><p><strong>Core Responsibilities:</strong></p><ul><li><strong>Data Orchestration & Tag Mapping:</strong> Perform complex mapping of historian tags (PI, OPC, IP21) to the SmartSignal Standard Data Model. Ensure data lineage and quality across fleet-level deployments.</li><li><strong>Model Training (SBM):</strong> Utilize Similarity-Based Modeling (SBM) and Empirical Model Learning (EML) to establish "Normal" operating profiles. Select high-quality training windows (Gold Standard data) that represent healthy asset states.</li><li><strong>Analytic Blueprinting:</strong> Develop and maintain "Analytic Blueprints" (templates) for common industrial classes such as pumps, motors, and transformers to enable rapid scaling.</li><li><strong>Model Maintenance & Tuning:</strong> Monitor model performance (Precision/Recall). Perform "Retraining" following asset overhauls or upgrades and tune statistical thresholds to minimize false positives.</li></ul><p> </p><br><br><strong>Work Experience </strong><br><p><strong>Technical Skill Set:</strong></p><ul><li><strong>Programming:</strong> Proficient in Python for data manipulation (Pandas, NumPy) and building custom analytic rules/features.</li><li><strong>Platform Expertise:</strong> Hands-on experience in SmartSignal (GE Vernova), Aspen Mtell, or AVEVA PRiSM. Deep understanding of "Blueprints" and "Weekly/Monthly Model Review" workflows.</li><li><strong>Data Systems:</strong> Strong SQL skills for querying CMMS (Maximo, SAP PM) and Historian databases.</li><li><strong>Software:</strong> Familiarity with pulling data from APIs using Postman or similar tools, ability to work efficiently big excel and csv files.</li></ul><p><span style="color: rgb(99, 112, 133);">• Strong analytical, debugging, and problem-solving skills. </span></p><p><span style="color: rgb(99, 112, 133);">• Excellent verbal and written communication skills with the ability to work effectively in cross-functional teams.</span></p><p><span style="color: rgb(99, 112, 133);"> • Must have hands-on experience with Docker for containerizing, deploying, and managing applications. </span></p><p><span style="color: rgb(99, 112, 133);">• Understanding of DevOps practices, including CI/CD pipelines and container based deployment strategies.</span></p><br><br>