Job Description

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
• Educated to degree or equivalent discipline with a solid analytical background as well as commercial experience with data science and statistical modelling techniques
• At least an Upper-Intermediate level of English

RESPONSIBILITIES

• 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