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Known employer and Bangalore metro increase competition, while senior niche supply-chain focus moderates applicant density.
Deep supply-chain forecasting and optimization expertise required, limiting cross-industry transferability.
Explicit 10–15 years requirement plus domain and technical mandates makes shortlisting highly strict.
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Analyze and model large, complex supply chain data sets to generate actionable insights for demand forecasting and supply planning.
Develop, fine-tune, and present machine learning forecasting models, including data ingestion, feature engineering, and visualization.
Implement supply chain optimization algorithms and provide expert consulting to improve efficiency, reduce costs, and enhance service levels.
10-15 years of experience in data science or supply chain operations analytics, including forecasting projects 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 familiarity with supply chain management platforms/processes.
Hands-on experience with machine learning techniques (regression, classification, clustering) and optimization models.
Demonstrated ability to lead advanced analytics and machine learning projects in supply chain contexts, focusing on demand forecasting and operational optimization.
Experienced in consulting or advisory roles providing subject matter expertise and actionable recommendations to diverse stakeholders.
Capable of handling large data sets independently and presenting complex findings clearly to non-technical audiences.