Operation Research Engineer- TikTok E-commerce Global Supply Chain and Logistics

Data-E-commerce-Global Supply Chain and Logistics team: Our missions is to optimize the variety & cost-saving of goods and the speed & quality of fulfillment to ensure the user experience of global e-commerce service. You'll work on: - Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods. - Create supply chain's data portrait and knowledge graph in various dimensions such as vendors, commodity, place of origin, inventory, production capacity and quality of fulfillment, etc. Establish data-driven control-adjustment methods that enhance operational outcomes and user experience. - Highlight global e-commerce trends to optimize e-commerce commodity supplies, forecast commodity demand, recommend vendor stocking and enhance production capacity. Role and Responsibilities: - We are seeking a motivated professional role to participate in the construction of the smart supply chain, mostly for business-oriented data mining and continuous algorithm iteration. - The individual must be analytical enough to understand the underlying logic of the e-commerce supply chain, yet creative enough to see improvement opportunities in warehouse layout optimization, warehouse inbound and outbound logistics optimization, vehicle routing problem, inventory stocking & inventory allocation planning. - The successful candidate will be required to build the optimization model and design the algorithm to support decision optimization. The position requires strong communication skills to work with customers, understanding their business problems, present results, and partner with Operations and R&D teams throughout the engagement and implementation. Minimum Qualifications - Major in computer/automation/statistics/mathematics/logistics/operations research, master degree or above; more than 2 years experience in machine learning, data mining and other related fields. - Coding experience in solving LP/ IP problems using Gurobi, CPLEX, SCIP, ORTools and languages in Python/Go/Java/C++. Being proficient in basic data structures and algorithms. - Machine learning, data analytics and feature engineering experience and skills. - Being self-driven, understanding the underlying logic of the business, adapting to rapid business changes. - Good communication skills and courage to change business. Preferred Qualifications - Experience in the application of logistics-related algorithms in the field of e-commerce, optimization experience in large-scale operations research problems, being familiar with various heuristic algorithms.