Data Scientist

• Design and implement data collection, storage, and archiving pipelines to support efficient access and analysis.
• Integrate data from multiple sources, including manufacturing equipment, MES, SAP, and other enterprise systems.
• Ensure both real-time and historical data are accurately captured and maintained.
• Perform exploratory and statistical analysis to identify patterns, correlations, and trends across business and manufacturing data.
• Build and deploy predictive and machine learning models to support proactive decision-making and process optimization.
• Collaborate with stakeholders to define KPIs and develop dashboards or reports for actionable insights.
• Analyze current business and operational processes to identify opportunities for automation and digital transformation.
• Design and implement data-driven workflows that streamline operations and enhance efficiency.
• Work closely with business process owners, IT, and operations teams to ensure alignment with strategic goals.
• Document methodologies, data architecture, and models to support sustainability and handover to internal teams.