Develop and improve data-driven models for forecasting, optimization, and insights
Analyze large-scale sensor, process, and operational data for trends and risks
Build and validate ML models for prediction, anomaly detection, and risk assessment
Create scalable data-science pipelines and collaborate with the team
Translate business needs into analytical solutions and present insights
Ensure models are production-ready, monitored, and continuously improved

🎯 Requirements

5+ years of experience in the data science field
Strong Python skills and experience with core DS/ML libraries
Experience with time-series analysis and predictive modeling
Hands-on experience in anomaly detection
Ability to build optimization models
Degree or equivalent with strong analytical background and DS experience
At least an Upper-Intermediate level of English

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