Data Scientist - Supply Chain Optimization

What role you will play in team: Apply data science techniques to optimize our supply chain operations.

What you will do: You'll develop and implement models to improve efficiency, reduce costs, and enhance predictability.

Key responsibility:

• Developing predictive models for demand forecasting.
• Optimizing inventory management strategies.
• Improving logistics and transportation planning.
• Analyzing supply chain data to identify bottlenecks and inefficiencies.

• Developing and implementing data-driven solutions to improve supply chain performance.
• Collaborating with cross-functional teams to implement solutions.

Required Qualification and Skills:

• Master's degree in a quantitative field (e.g., Operations Research, Industrial Engineering, Data Science).
• 2-4 years of experience in supply chain analytics or data science.
• Proficiency in Python or R and relevant libraries.
• Experience with statistical modeling and machine learning.
• Strong analytical and problem-solving skills.

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• Excellent communication skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for career growth and development.
• Impactful work in a large, global company.
• Collaborative and supportive work environment.

A Day in the Life: A typical day involves data analysis, model building, collaboration with supply chain teams, and implementation of solutions.