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Metro Bengaluru location and broad ML-plus-supply-chain skillset create moderate candidate competition.
Requires deep supply-chain analytics experience, so industry-specific skills limit transferability.
Explicit 10-15 years plus niche ML and supply-chain expertise makes filters strict.
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Lead data analysis and develop machine learning forecasting models to optimize supply chain demand planning and operations.
Implement optimization algorithms to improve supply chain efficiency, reduce costs, and enhance service levels.
Serve as a subject matter expert advising stakeholders on supply chain analytics best practices and driving process improvements based on data insights.
10-15 years of experience in data science or supply chain operations analytics with expertise in forecasting using statistical/ML models.
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 supply chain management platforms/processes.
Hands-on experience with machine learning techniques including regression, classification, clustering, and supply chain domain knowledge (demand forecasting, inventory management, procurement, logistics).
Experienced consultant comfortable working both independently and collaboratively in cross-functional environments.
Strong analytical thinker with proven ability to translate complex data sets into actionable supply chain operational improvements.
Skilled communicator able to present technical insights clearly to non-technical stakeholders and advise on strategic supply chain analytics decisions.