Senior Data Scientist

We supply the sustainable and innovative paints and coatings that our customers, communities – and the environment – are increasingly relying on. Our world class portfolio of brands – including Dulux, International, Sikkens and Interpon – is trusted by customers around the globe. We’re active in more than 150 countries and have set our sights on becoming the global industry leader. It’s what you’d expect from a pioneering paints company that’s committed to science-based targets and is taking genuine action to address globally relevant challenges and protect future generations.

For more information please visit www.akzonobel.com.

© 2023 Akzo Nobel N.V. All rights reserved.

In Short

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.
Working alongside a multidisciplinary team, you'll collaborate with experts in IT, end-to-end supply chain management, engage in co-creation with external (software) suppliers, and draw from a diverse talent pool spanning engineering, cloud computing, and supply chain analytics.
Within our culture of technology-driven problem-solving, adaptability, and collaboration, your contributions will drive meaningful change and knowledge-sharing across the organization. Together, we'll harness the power of data to deliver tangible and lasting impact, positioning our company as a leader in the global manufacturing landscape.

Job Purpose

On 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 companywide IBP and Financial planning with high focus on reliability and sustainable performance.
   

The Role and its Responsibilities

You will perform activities such as:

• Data engineering – extract and process, cleanse, standardize and validate the integrity of data.
• Data 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.
• Identify Continuous Improvements within current tools/systems and use cases.
• Closely work with Product Owners, Data Engineers and Data Architects to build robust data infrastructure.
• Foster a culture of knowledge sharing and mentorship, where employees are encouraged to expand their expertise and contribute to the collective growth of the team.
• DevOps/ Agile WoW.

Job requirements

• Pro-active and result driven, while being a strong team player.
• Strong attention to detail. Be able to work with large datasets, often with technical names, spotting potential errors on the data, and without losing focus of the task at hand, and key deliverables.
• Potential and affinity to grow towards being a challenging partner to senior members of the AkzoNobel community, bridging business needs and IT, and realizing cross-functional impact.
• Basic project management skills and understanding and affinity of Agile working.
• Good (written and oral) communication skills, strong command in English.

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