Job Description
Job Description NEPA Works Pvt Ltd is seeking a highly analytical and mathematically strong professional to develop and optimize the core algorithms of our cross-border B2B supply chain. Operating between US buyers and Chinese manufacturing networks, this role focuses on applying advanced mathematics, artificial intelligence, and algorithmic modeling to improve routing efficiency, demand forecasting, and inventory management. This is a high-impact role where candidates will work on real-world global logistics problems and build systems that directly influence operational efficiency and cost optimization. Key Responsibilities: Design and implement mathematical models for supply chain optimization Develop algorithms for routing, demand forecasting, and inventory management Apply multivariable calculus, graph theory, and AI techniques to logistics challenges Optimize trans-Pacific shipping routes based on cost and time efficiency Build predictive models to analyze demand trends across US markets Improve inventory systems to reduce holding costs and increase efficiency Collaborate with technical and operations teams to deploy solutions Core Areas of Work: Routing optimization using cost functions and network models Demand forecasting using statistical and mathematical techniques Inventory optimization using EOQ and related models