Data Scientist (Logistics)

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Date: Mar 21, 2024

Location: Chonburi, TH

Company: AkzoNobel

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.

Job Purpose

•    Build the Supply Chain Network models (digital twins) for strategic and tactical network optimisation. 
•    Integrate network design models in the regional supply chain functions to ensure repeatable review of supply chain network design and configuration. 
•    Develop the capability for Supply Chain network design and Supply Chain strategy in AkzoNobel by setting standards for modelling and data management as well as developing people. 
•    Support various network optimisation projects across AkzoNobel, based on ISC and business needs. 

Key Accountabilities

Key Responsibilities
Perform projects to develop Supply Chain network models and optimisations for Akzo Nobel 
•     Identify Supply Chain and business requirements for network models 
•     Data collection, validation and modelling 
•     Develop and validate baseline Network model (operational and financial validation) 
•     Run optimisation network scenarios (Unconstraint & constraint) 
•     Run standard what-if scenarios 
•     Run iterative inventory optimisation model versus optimised and selected what if scenarios 
•     Report key model outcome by scenario (using PowerBI)
•     Operational changes 
•     Impact on Supply chain performance indicators (tbc):
•     Lead time /service 
•     Reliability / Risk 
•     Supply chain costs
•     Material cost 
•     Manufacturing cost 
•     Outbound Logistics cost 
•     Inventory 
•     SLOBS 
•     Carbon emission 
•     Define and prioritise top network change initiatives for implementation 
•     Business case preparation, presentation of its outcomes and recommendations to stakeholders 

Develop process and requirements for creating a standardised Supply Chain network flow model (digital twin) across Akzo Nobel that covers: 
•     Define data requirements (templates) and process for creating and updating the network flow model, allow for inclusion of:
•     Customer segmentation 
•     Product segmentation 
•     Define standard scenarios for identifying the optimal supply chain Network and testing sensitivities and network options, to be used on a periodic basis with model refresh 
•     Define reporting requirements of model outputs (using PowerBI) 
•     Define process and capability to optimise inventory considering modelled optimised network. Use of iterative process with separate tool / module 

Education

 Education and Experience:  
•     Experience with supply chain network design optimisation tools - Lamasoft SC Guru, AIMMS, Anylogic 
•     Master or advanced university degree. Preferably in technical, data sciences, or supply chain management 
•     5+ years supply chain management and planning experience for a multinational company 
•     Excellent knowledge of databases, data processes, IT infrastructure, data modelling, and complex analysis 
•     Good to have experience on below tools:
•     Data preparation/ transformation using Azure SQL, Alteryx 
•     Data visualization – Power BI, Tableau, SAP Analytics Cloud 
•     Working knowledge of SAP systems – ERP – standard tables, Tcodes, reports, BEX Analyzer, Analysis for Office 
•     Proven project experience with developing regional manufacturing & distribution network models. 
•     Team player strong in creating structure, timely, high quality deliverables 
•     Optimization practitioner with strong experience of strategic and tactical optimization - knowledge of the principles of optimization and how optimization is performed using software packages, familiarity with network optimization, inventory optimization, product flow analysis, operations planning, and cost to serve analysis. 
•     Comfortable with data manipulation and data analytics – very strong with handling large volumes of data 
•     Clearly understands all model inputs and outputs and is able to interpret the results from models and translate into key proposals. 
•     Excellent written and verbal communicator, organized and high attention to detail 

At AkzoNobel we are highly committed to ensuring an inclusive and respectful workplace where all employees can be their best self. We strive to embrace diversity in a context of tolerance. Our talent acquisition process plays an integral part in this journey, as setting the foundations for a diverse environment. For this reason we train and educate on the implications of our Unconscious Bias in order for our TA and hiring managers to be mindful of them and take corrective actions when applicable. In our organization, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability.

Requisition ID: 36871 

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