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Strong brand, mid-level (3-6+ yrs) requirement and metro location increase candidate competition.
Role needs OR/ML skills plus retail supply-chain experience, making cross-industry fit moderately sensitive.
Explicit overall and retail-specific years plus required technical/statistical skills make shortlisting highly strict.
Analyze granular supply chain data to develop key performance metrics across sales, transportation, operations, and inventory.
Lead mathematical modeling, simulation, and optimization initiatives to improve guest experience and reduce supply chain costs.
Collaborate with data science, product, technology, and business teams globally to deploy algorithmic solutions supporting supply chain planning and control.
BTech/MTech/MS in engineering, statistics, operations research, or mathematics.
Minimum 6 years overall industry experience with at least 2 years in retail supply chain.
Proficiency in statistical tools (SAS, R, SPSS) and scripting languages like Python for data analysis and prototyping.
Experience with supply chain concepts including forecasting, planning, optimization, and logistics.
Expertise in applying advanced analytics, modeling, and optimization in supply chain or logistics contexts.
Experienced in cross-functional collaboration across technical and business teams at a global scale.
Strong analytical mindset focused on empirical data-driven problem solving and algorithmic work tied closely to business outcomes.