Vacature Data Scientist / Planning Process Expert

Data Scientist
AkzoNobel
  • AkzoNobel
  • Universitair of hoger
  • Medior/Senior niveau
  • Vast contract
  • 40 uur p/w
Functieomschrijving AkzoNobel has a passion for paint. We’re experts in the proud craft of making paints and coatings, setting the standard in color and protection since 1792. Our world class portfolio of brands – including Dulux, International, Sikkens and Interpon – is trusted by customers around the globe. Headquartered in the Netherlands, we are active in over 150 countries and employ around 34,500 talented people who are passionate about delivering the high-performance products and services our customers expect.

The global Center of Expertise (COE) in Integrated Business Planning is looking for talents to join our data science team.

Purpose/Key Objectives of the Job
On a global scale, for all Paints & Coatings:
  • Leads technical design and deployment of IBP Reporting & Analytics (DART/SMART for Demand/Supply). Supports IBP Data Science Manager & Business Process Managers (BPMs) in process design and deployment of IBP Reporting & Analytics (DART/SMART for Demand/Supply).
  • Supports deployment of IBP & Demand/Supply by supporting Data Science manager and users to improve master data (product, customer, region, supply hierarchy, and for critical sites: production data, MRP views) and supports automation initiatives such as master data profiles.
  • Technically design and deploy end-to-end reporting and analytics processes to optimize key end-to-end KPIs being Service, Cost-to-Serve and Inventory (Incl Slobs). Thus, supports Data Science manager in process design and deployment, e.g. in matching demand segmentation (ABC-XYZ) with supply policies (MTO/MTS), and setting order quantities/lot sizes to optimize all 3 KPIs.
  • To keep data up to date and operate as efficiently as possible, design and deploys automation of all data management through rules. Once there is a solid foundation, explore opportunities to apply machine learning (e.g. in Alteryx) and utilize functionality of Advanced Planning Systems (APS).
  • Develops materials to build capability in the supply planning community including trainings and set-up of Knowledge Management System (KMS) for Reporting & Analytics, as well as Master data management for the above mentioned scope.

Responsibilities
For DART/SMART, Master data, optimization of key end-to-end KPIs, automation, KMS:
  • Effectively partner within the data science team, operational users and senior stakeholders in other COEs and IM, to make data accurate and to make the process to manage data efficient.
  • PMO of technical Progress while balancing Agile working to deliver rapid prototyping and further incremental development of the technical product, with good communication to sponsors and key stakeholders.
  • Conduct advanced data analyses, develop rules & mathematical models to promote efficiency, and translate these into a usable tool/system which supports the process.
  • Extract relevant information from available data sources for further analytical processing, e.g. data mining
  • Process, cleanse, and verify the integrity of data used for analysis; where possible collaborate and guide the junior Data scientist to perform this task.
  • Interpret results in a business context, discuss with business partners, and incorporate data-driven decision-making in operations
  • Serve as interface between business and IT departments. E.g. alignment with Global PRISM project on Master data.
  • Validate achieved process performance with meaningful KPIs
  • Ideation: Identify new strategic application areas and use cases
  • Leads Onboarding and Training of junior Data scientists.

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Functie-eisen Job requirements
Minimum Requirements:
  • Demonstrated capability to bridge business needs and IM, and be a challenging partner to both to realize impact.
  • Pro-active, result driven, and target oriented execution of role while being a strong team player.
  • High motivation to strive for and facilitate the overall company optimum.
  • Self motivating to deliver and drive all project stakeholders through the change curve: when the going gets tough, the tough get’s going.
  • Sensitive and adaptable to organizational culture and Dynamics.
  • Professionalism and maturity required to effectively interact with senior management.
  • Strong project management skills.
  • Ability to produce outstanding creative and analytical solutions based on thorough analyses of complex processes and business relationships.
  • Functional excellence & credibility to drive the organization forward.
  • Ability to operate effectively across different cultures and functions.
  • Good communication skills, strong command in English.

Functional expertise:
  • At least 5 years in Supply Chain function; demonstrated hands-on impact in operations, planning and hands-on exposure to IT/ERP related projects.
  • MSc in Computer Science, Data science, Mathematics, Statistical Science, Supply Chain Management, Industrial Engineering or similar.
  • Detailed and in depth understanding of ERP system set up, planning & production master data fields, and how these are set up to enable a high performing supply chain process in line with company objectives
  • Has a good understanding of the AkzoNobel (ERP) system Landscape and the differences between systems.
  • Understanding of Demand Planning process, Demand segmentation and consequent Supply policies.
  • Strong experience in end-to-end performance measurement, identification & application of error metrics, root-cause analysis, etc.
  • Detailed and in depth understanding of KMS set up and relation with business processes.
  • Advanced Excel knowledge & basics (programming) knowledge of VBA/HTML /Java). Ability to quickly learn and master Python, R, Azure, Alteryx, PowerBI.
  • Background in Advanced Planning Systems (APS) or demonstrated basic skills set to quickly learn and master APS.

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Taalvaardigheid Vereist: Engels
Salarisinformatie Salaris in overleg

We offer a fascinating international environment that rewards your skills and enthusiasm. In addition to a good salary, you can expect excellent terms of employment including group insurance, 8% holiday allowance, travel allowance and an above industry standard number of vacation days. Training opportunities and internal networks enable valuable personal and professional development.

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Data Scientist / Planning Process Expert
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