Source description
About the role
Develop and improve data‑driven models for forecasting, optimization, and operational insights
Analyze large‑scale sensor, process, and operational datasets to identify trends, risks, and improvement opportunities
Build and validate ML models for prediction, anomaly detection, and risk assessment
Create scalable data‑science pipelines and collaborate closely with the team
Translate business needs into analytical solutions and present insights to stakeholders
Ensure models are production‑ready, monitored, and continuously improved
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