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Specialized senior role at a well-known supply-chain vendor in metros yields moderate competition among experienced candidates.
Strong supply-chain domain expertise and forecasting experience required, limiting cross-industry transferability.
Explicit 10-15 years plus domain-specific supply-chain analytics and mandatory ML tooling create strict shortlisting filters.
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Analyze large and complex supply chain datasets to generate actionable insights for demand forecasting and supply planning.
Develop, fine-tune, and deploy machine learning models and optimization algorithms to enhance supply chain efficiency and reduce costs.
Act as a subject matter expert providing consulting and advisory on supply chain analytics and data-driven process improvements.
10-15 years of experience in data science or supply chain operations analytics with hands-on forecasting project experience.
Bachelor's or Master's degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or related field.
Proficiency in Python, R, SQL, and applied statistics including distributions, statistical testing, and regression.
Hands-on experience with machine learning techniques such as regression, classification, clustering, and supply chain management processes.
Experienced in consulting environments with ability to work independently and collaboratively on complex projects.
Strong domain knowledge in supply chain processes including demand forecasting, inventory management, procurement, logistics, and distribution.
Skilled at communicating complex data insights clearly to both technical and non-technical stakeholders.