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MRO and Reliability Data Scientist
3 months ago
About the Role
The MRO and Reliability Data Scientist plays a critical role in identifying actionable insights from available data in our CMMS (Computerized Maintenance Management System) using cutting-edge technologies such as machine learning in Python to drive productivity improvements in our factories. As part of the Process & Manufacturing Excellence team, you will support over 60+ plants worldwide. The role involves collaborating across functional teams such as Engineering, Process Excellence, and Sourcing to provide data-driven insights for productivity and cost-saving initiatives. Your work will directly contribute to the company's long-term goal of operational excellence, focusing on enhancing asset reliability and maintenance efficiency.
Key Responsibilities
- Data Analytics & Insights: Use advanced analytics and machine learning to extract, analyze, and interpret data from systems like CMMS, MES, and other operational tools to provide actionable insights on asset performance.
- Master Data Management: Manage and maintain accurate master data for MRO, including spare parts and equipment, ensuring global data harmonization and governance.
- Training & Development: Create and deliver training content for users and reliability engineers, supporting global sites with the PM (Preventive Maintenance) pillar.
Requirements
- Strong experience in data analysis, KPI development, and reporting within a maintenance or industrial setting.
- Demonstrated expertise in root cause analysis (RCA) and continuous improvement practices.
- Technical skills: Proficiency in Python (machine learning). Experience with SQL databases (MS SQL, MySQL) and data visualization tools (Power BI, Tableau). At minimum, basic understanding of manufacturing automation (PLC, SCADA, MES, Historian).
- Education: Master’s or Bachelor’s degree in Engineering, IT, or Data & Computer Science.
- Languages: Fluency in English is a must; other languages is a plus.
- Industry experience: Minimum 3 years of experience in an industrial IT environment, ideally in industry 4.0, industrial automation, or business analysis. 1 year experience in processing or manufacturing industries such as food & beverage, petrochemical, pharma is preferred. A background in reliability and/or maintenance management is highly desirable.
- Experience with CMMS (Maximo, SAP PM, Infor/Hexagon EAM) is highly desirable.
Why Barry Callebaut?
- We offer a dynamic and challenging work environment within a globally recognized company. You will have opportunities for professional growth and development and will collaborate with a team of experts in asset management. Our competitive salary and benefits package reflect our commitment to our employees' well-being and professional success.
- At Barry Callebaut, we value diversity and inclusion. We are committed to fostering a culture where people can be themselves, feel they belong, and thrive. #OneBC – Diverse People, Sustainable Growth.
