Global Reliability Data Scientist

**Role Overview:** At Barry Callebaut, you will be part of a high-performing team focused on leveraging data, automation, and AI to shape the future of maintenance and manufacturing performance. The company is committed to driving digital innovation, process excellence, and sustainability to make sustainable chocolate the norm. As a member of this team, you will play a crucial role in creating a new generation of asset management intelligence by combining industrial data, AI, and predictive models to boost asset reliability. **Key Responsibilities:** - Build and deploy tools to identify actionable insights from maintenance and production data using machine learning and LLM-based AI. - Deliver insights in clear, business-ready formats such as Power BI reports, dashboards, and presentations. - Support and evolve Barry Callebaut's CMMS ecosystem and MRO master-data governance to ensure data accuracy, harmonization, and analytics readiness through automated, reusable pipelines. **Qualifications Required:** - Master's or bachelor's degree in engineering, IT, or Data & Computer Science. - 5+ years of experience with Python in machine learning and API calls. - Proficiency in data visualization/reporting tools like PowerBI, SSRS, Tableau, or SAC, specifically DAX and Power M. - Basic understanding of manufacturing automation (PLC, SCADA, MES, Historian, OSI PI). **Additional Company Details:** At Barry Callebaut, the company is committed to Diversity & Inclusion. They value the diversity of their team members and are dedicated to creating an inclusive environment where everyone can be themselves, grow to their full potential, and feel a sense of belonging. The company's strong values drive their focus on diverse people and sustainable growth, making it a rewarding place to work. Note: The provided job description has been summarized to highlight the key aspects of the role, responsibilities, and qualifications required. **Role Overview:** At Barry Callebaut, you will be part of a high-performing team focused on leveraging data, automation, and AI to shape the future of maintenance and manufacturing performance. The company is committed to driving digital innovation, process excellence, and sustainability to make sustainable chocolate the norm. As a member of this team, you will play a crucial role in creating a new generation of asset management intelligence by combining industrial data, AI, and predictive models to boost asset reliability. **Key Responsibilities:** - Build and deploy tools to identify actionable insights from maintenance and production data using machine learning and LLM-based AI. - Deliver insights in clear, business-ready formats such as Power BI reports, dashboards, and presentations. - Support and evolve Barry Callebaut's CMMS ecosystem and MRO master-data governance to ensure data accuracy, harmonization, and analytics readiness through automated, reusable pipelines. **Qualifications Required:** - Master's or bachelor's degree in engineering, IT, or Data & Computer Science. - 5+ years of experience with Python in machine learning and API calls. - Proficiency in data visualization/reporting tools like PowerBI, SSRS, Tableau, or SAC, specifically DAX and Power M. - Basic understanding of manufacturing automation (PLC, SCADA, MES, Historian, OSI PI). **Additional Company Details:** At Barry Callebaut, the company is committed to Diversity & Inclusion. They value the diversity of their team members and are dedicated to creating an inclusive environment where everyone can be themselves, grow to their full potential, and feel a sense of belonging. The company's strong values drive their focus on diverse people and sustainable growth, making it a rewarding place to work. Note: The provided job description has been summarized to highlight the key aspects of the role, responsibilities, and qualifications required.