Optimization Specialist
3 days ago
We are Nestlé SA, the largest food and beverage company, driven by the purpose of enhancing the quality of life and contributing to a healthier future. Our values are rooted in respect: respect for ourselves, respect for others, respect for diversity, and respect for our future.
Job Description:
The Optimization Specialist will be responsible for defining and implementing optimization strategies to improve the efficiency and effectiveness of our supply chain operations. This includes designing and deploying new functionalities, updating the Supply Model strategy based on business requirements, and regularly evaluating and adapting supply network models to changing market conditions.
Responsibilities:
- Develop and implement optimization strategies to improve supply chain efficiency and effectiveness.
- Collaborate with stakeholders to define updated business requirements and success criteria and reflect them into strategy templates.
- Translate strategy templates and needs from the business into mathematical/heuristic models.
- Use modelling and simulation tools to perform updates of the parameters such as costs and penalties of supply network models.
- Conduct regular performance evaluations to ensure models remain effective and adapt to changing market conditions.
- Risk Management and Contingency Planning: Highlight the significance of considering risk management strategies and developing contingency plans within supply chain modelling.
Requirements:
- Bachelor's degree in Supply Chain, Engineering, Mathematics, Computer Science, Business or Economics.
- Master's degree in Supply Chain Management, Operational Research or Industrial Engineering.
- +4 years of experience in supply planning, with significant experience in supply planning processes and a comprehensive understanding of supply chain dynamics.
- +2 years of experience in supply modelling, proficient in modeling techniques, simulation tools, and data analysis methods.
- +2 years of experience in data analysis, skilled at collecting, processing, and analyzing large datasets to extract meaningful insights.
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