Global R&D Data Scientist

At Corbion, we exist to champion preservation in all its forms, preserving food and food production, health, and our planet.

The role

Are you a Data Scientist who wants to use advanced analytics to solve real-world challenges in an international manufacturing environment?

As a Data Scientist, you will join and strengthen our Data Science team and report to a Principal Data Scientist. You will help transform complex manufacturing, laboratory, and business data into actionable insights that improve product quality, process performance, yield, and productivity and overall decision-making.

Your work will range from exploratory data analysis and troubleshooting to predictive and prescriptive modelling. For example, you may investigate why a plant is losing yield, combine high-frequency sensor data with laboratory results, identify the root cause, and develop a model that recommends optimal process parameters or recipe settings.

This is a global role in which you will collaborate with colleagues across manufacturing, innovation, and commercial functions in different countries. You will also play an important role in making advanced analytics understandable and accessible to stakeholders with different levels of technical expertise.

Key Responsibilities

• Use advanced analytics, statistical methods, machine learning, and AI to generate actionable insights and measurable business impact across manufacturing, innovation, and commercial activities.
• Analyze large and complex datasets, including high-frequency plant and sensor data, laboratory results, and relevant metadata.
• Prepare imperfect real-world datasets for analysis through data cleaning, preprocessing, feature engineering, and exploratory data analysis.
• Develop predictive models to support areas such as product-quality prediction, process monitoring, troubleshooting, and performance improvement.
• Apply prescriptive analytics to identify optimal process conditions, parameter settings, input variables, or recipe configurations.
• Deliver statistical consulting in areas such as experimental design, data interpretation, predictive modelling, and advanced statistical analysis.
• Translate business or scientific questions into clearly defined analytical problems and scalable data-driven solutions.
• Communicate complex models and analytical findings through clear recommendations, presentations, visualizations, and reports for both technical and non-technical stakeholders.
• Create data visualizations and reporting solutions using tools such as Power BI.
• Work with cross-functional and international stakeholders to advance digitalization and data-driven decision-making across multiple manufacturing locations.
• Explore, develop, and pilot innovative machi...

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis.