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Tier-1 brand and metro location but senior, specialized supply-chain ML role reduces applicant density.
Role demands deep supply-chain analytics and ML/AI experience, limiting cross-industry transferability.
Explicit 11+ years plus 7+ years domain experience and specific ML/AI analytics requirements.
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Lead development and delivery of data science-driven analytics solutions in supply chain functions such as Demand Planning, Supply Planning, Network Design, and others.
Drive innovation by creating new offerings and leading multiple workstreams within the Supply Chain & Operations practice.
Act as solution architect and lead communication with clients to design analytics solutions and manage Manager-led teams during project execution.
11+ years post-Master’s or 8+ years post-Ph.D work experience in data science applications, with at least 7 years in advanced analytics solution design and delivery in supply chain/logistics/manufacturing/production.
Master’s or Ph.D. in quantitative disciplines like Statistics, Economics, Operations Research, Computer Science.
Deep experience applying data science methodologies in one or more supply chain areas including Demand Planning, Supply Planning, Network Design, Logistics, Procurement, Manufacturing, After Market, or Control Tower.
Hands-on programming skills in analytics tools and platforms such as Python, PySpark, SQL.
Subject matter expert in data science for supply chain planning and operations, preferably with exposure to major industries like Consumer Goods, Retail, Life sciences, Industrial, or Resources.
Experienced leader managing large-scale projects and multiple workstreams with communication skills to present complex solutions to senior stakeholders.
Strong technical background with knowledge of generative AI, agentic AI, machine learning, deep learning, statistics, and operations research, plus certifications in Python, AI/ML, Generative AI or cloud platforms viewed favorably.