Senior Data Scientist - Sassenheim, Nederland - AkzoNobel

Beschrijving

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.

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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.

What do we offer

Of course, it's a two-way street. This means that we offer not only a competitive salary but also believe in a healthy work-life balance. This is what you can expect from us:

• 46 vacation days
• You will be enrolled in our pension scheme
• We value personal growth, which means that there will be a lot of opportunities to develop your career either vertically or horizontally.
• Training: Microsoft Certification, Language Courses, Agile Courses
• Possibility/ flexibility to partially work from home, including a budget for office supplies
• Many fun company events are planned by Young AkzoNobel (YAN) like drinks, ski trips, Christmas parties, museum visits, concerts, and many more

If you're passionate about driving innovation and shaping the future of supply chain management through cutting-edge digital solutions, we invite you to join our team. Together, we will continue to push the boundaries of what's possible and make a meaningful impact on our industry and beyond.

Even if you don't meet every requirement, we encourage passionate individuals with a drive for learning and growth to apply, as we believe in nurturing talent and fostering development within our team.

AkzoNobel is consistently rated as one of the top employers in The Netherlands. We welcome your online application via AkzoNobel Careers. Only online applications will be considered. If you have any questions, please contact David van Gelderen, Talent Acquisition Partner. Or send an email to

The recruitment process includes selecting the best applications received through the system, interview rounds and further steps. An online assessment might be part of the selection process.

An employment screening may be part of the selection process.

Agency or sales calls are not appreciated

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability.

Requisition ID: 38358