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Operations Data Scientist

Quarterhill • US • published 2026-10-03 15:14:19.322462

Description

Overview: The Operations Data Scientist applies data science, statistical analysis, predictive modeling, and automation to improve system reliability and operational performance. This role analyzes large volumes of system, maintenance, incident, alarm, and operational data to identify trends, anomalies, and indicators of potential failures. The role will develop predictive capabilities that allow teams to identify issues earlier, improve maintenance strategies, and reduce service impacts. This position will also work closely with Technical Support, Development, and Operations to understand the applications and systems generating the data and support the implementation of analytical solutions into production environments. Responsibilities: * Analyze large and complex operational datasets to identify trends, anomalies, recurring issues, and indicators of potential failures. * Develop and refine predictive models, rules, thresholds, and analytical methods. * Apply statistical analysis, anomaly detection, time\-series analysis, predictive modeling, and machine learning techniques where appropriate. * Evaluate predictive results against actual failures, incidents, maintenance activities...

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