.Suministramos pinturas y recubrimientos sostenibles e innovadores que nuestros clientes, las comunidades y el medio ambiente demandan. Clientes de todo el mundo confían en nuestro portfolio internacional de marcas, que incluye nombres como Dulux, International, Sikkens e Interpon, entre muchas otras. Operamos en más de 150 países y nuestro objetivo es convertirnos en el líder global de la industria, como empresa pionera de pinturas comprometida con objetivos científicamente avalados y con la consecución de desafíos globales relevantes que protejan las futuras generaciones.Para más información, por favor visite www.Akzonobel.Com2023 Akzo Nobel N.V.As a member of the data science team positioned within our digital center of excellence at the heart of our manufacturing industry, you will be integral to our mission of becoming leaders in world-class supply chain management. Leveraging cutting-edge technologies within our Azure Cloud computing environment, you'll contribute to revolutionizing industrial practices through innovative digital, AI and data-driven solutions.Job PurposeOn a global scale, we're looking for an experienced Data Scientist to co-deliver solutions on:E2E Reporting & Analytics for Integrated Supply Chain (MAKE, SOURCE, DELIVER, QUALITY, PLAN & Integrated-Business-Planning) to drive business decisions to improve on Service, Cost and Inventory.Improvements in Master data to clean Lifecycle statuses and streamline MRP runs, capture and maintain Production data to manage capacity constraints in the network.Descriptive-, prescriptive- and predictive models that are built in our big data platforms to optimize our MRP and network design e.G. through matching demand segmentation (ABC-XYZ) with supply policies (MTO/MTS), order quantities/lot sizes,safety stock locations and quantities.- Automated global solutions to facilitate company-wide IBP and Financial planning with high focus on reliability and sustainable performance.Key ActivitiesData science – drive innovation initiatives to explore and implement emerging tools & technologies, and implement state-of-art Machine learning, optimization and statistical techniques to enhance predictive modeling, optimization, and decision-making processes.Product owner – responsible for defining and driving the product vision and strategy, collaborating with stakeholders and cross-functional teams, prioritizing and managing the product backlog, ensuring timely delivery of high-quality products, and gathering feedback for continuous improvement and innovation.Data analytics & reporting – Interpret results in a business context,discuss with business partners, and incorporate data-driven decision-making in operations. Design advanced data models for multi-stakeholders and performant reporting while dealing with big data.- Validate achieved process performance with meaningful KPIs
