• In this role, you have the opportunity to support our customers in all aspects of production equipment (from consultancy until designing and building).
• One of the main themes is Industry 4.0, with focus on manufacturing data intelligence and analytics.

You are responsible for

• Understand the key drivers and issues that have impact on overall quality and efficiency of manufacturing processes and equipment.

• Able to translate operational issues into tangible solutions by using data modeling and analytical techniques using available data and present and discuss these to stakeholders.

• Work together with equipment architects, process technologists and manufacturing/equipment/quality engineers to analyze and optimize manufacturing processes and equipment.

• Delivering meaningful insights by using advanced technologies for analyzing and interpreting large complex data sets.

• Analyze and advice regarding the relevance, quality and accuracy of the gathered data.

• Signal opportunities and team up with others in the organization to realize these

• Propose, plan and execute ideas to further develop the competences of the organization

To succeed in this role, you ll need a customer-first attitude and the following

• Master/Bachelor degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

• Data science/analytics experience

• Hands on experience with statistical analysis, applying various machine learning techniques, predictive modeling and data mining.

• Experience with data querying languages (e.g. SQL) and scripting languages (e.g. R Python)

• Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills.

• Experience with Microsoft Azure analytics (e.g. Azure Data Explorer) is highly preferred.

• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations.