Dice is the leading career destination for tech experts at every stage of their careers. Our client, Myriad Consulting Inc, is seeking the following. Apply via Dice today! Must Have Experience In Supply Chain / Logistics Domain. Team Introduction The global Supply Chain & Logistics team integrates logistics, warehousing, transportation and other resources to build a global "goods accessible" network, to provide international e-commerce customers with low-cost, high-efficiency, and high-determinacy supply chain and logistics solutions supporting multiple business models, and enhancing consumer experience. Responsibilities: Conduct data science and analytics for international e-commerce supply chain and logistics. Apply the latest statistics and machine learning methods to merchant and supply chain management to facilitate business growth. Work with development, product, and operations teams to optimize supply chain logistics functionalities using statistical or machine learning techniques. Analyze and deconstruct the impact of logistics strategies, contributing to data-driven decision-making and capabilities like forecasting and simulation. Minimum Qualifications: Bachelor s degree or higher in Computer Science, Statistics, Mathematics, or relevant fields, with 3 years of experiencein data mining, machine learning or operational research. Proficient in SQL and data analysis/modeling with R/Python. Knowledgeable in data analytics, mining techniques, and machine learning or optimization algorithms, with an understanding of deep learning principles. Strong analytical and problem-solving skills, with the ability to learn quickly and work well in a team. Skilled in cross-team collaboration, business acumen, and strong communication, with resilience and interest in new technologies and challenges. Preferred Qualifications: Familiarity with big data technologies like Hadoop, Spark, Hive, and Flink is a plus. Prior experience in supply chain or logistics and practices in big data or algorithm engineering is desirable. Senior Data Scientist (Chinese speaking) #J-18808-Ljbffr
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