Speciality: Data Science

You help companies make better forecasting, planning and inventory management decisions, based on quantitative analysis and models. Dealing with the three pillars of applied analytics: data engineering, model development and storytelling (presenting and visualizing results in an insightful, compelling, and narrative way).

You help companies make better forecasting and planning decisions based on quantitative analysis and models. You combine your creative mind with your passion for forecasting and planning algorithms and a fascination for technology.

You will have a key role in EyeOn’s data science and solutions team. Making a real difference, letting large (multinational) companies in process, pharmaceutical, fast moving consumer goods and high tech industries fulfill their customer’s demand more reliably and more efficiently.

You will be part of a consultancy team supporting large (multinational) companies in optimizing and/or redesigning their supply chain. Discussing the supply chain strategy and define scenarios to improve the current set-up. You will model the proposed scenarios in our data science platform for impact assessment. Delivering and presenting complex analysis & results.

You help us create an ever-better portfolio of products and innovations, focusing on demand forecasting. Driving productization, continuous improvement, and enrichment of our portfolio, all with the final goal of maximizing customer value.