Data Scientist, Smart Maintenance, & Equipment Reliability

Job description

As a Data Scientist for the Smart Maintenance initiative, you will support the creation of digital twins and predictive job models to reduce operational uncertainty and strengthen uptime during dynamic operations. You will help modernize maintenance and failure workflows to uncover subtle trends that traditional evaluations may miss, helping the company pursue a meaningful asset-life advantage. By moving data automatically across systems and removing reliance on manual reconciliation, you will help build a foundation for real-time maintenance management and total cost of ownership visibility. Your work will empower field teams with consolidated, purpose-built data that transforms every intervention into a precise, closed-loop maintenance event. Key Responsibilities: Support the development of predictive models and automated tracking tools to help maintenance teams shift from reactive to proactive workflows. Assist in the integration of equipment telemetry and various data streams into modeling frameworks to improve lifecycle management. Help build and test internal AI-driven tools and trend models to streamline technical troubleshooting and root cause analysis. Contribute to the de...