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Senior, niche supply-chain ML role in Bangalore at a known SaaS firm yields medium competition.
Deep supply-chain forecasting and optimization expertise required, limiting transferability across industries.
Requires 10–15 years, domain expertise, and specific ML and supply-chain skills, enforcing strict filters.
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Lead advanced data analysis and machine learning projects to enhance demand forecasting and supply chain efficiency.
Design, fine-tune, and present forecasting and optimization models based on large and complex supply chain data sets.
Act as a subject matter expert advising stakeholders on best practices and driving data-driven process improvements in supply chain operations.
10-15 years of experience in data science or supply chain operations analytics with forecasting project experience.
Bachelor’s or Master’s degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or related fields.
Proficiency in Python, R, SQL, applied statistics, and experience with supply chain management platforms/processes.
Hands-on experience with machine learning techniques (regression, classification, clustering) and supply chain optimization models.
Experienced in consulting settings with cross-functional collaboration for advisory roles in supply chain analytics.
Demonstrates strong analytical/problem-solving skills focused on translating complex data into actionable business insights.
Deep domain expertise in supply chain processes including demand forecasting, inventory management, procurement, logistics, and distribution.