Senior Data Scientist

Senior Data Scientist - Global E-Commerce (Supply Chain and Logistics)Get AI-powered advice on this job and more exclusive features. Overview Global E-Commerce is a content e-commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. The Global E-Commerce team aims to provide users with a tailored and efficient consumption experience, enabling merchants to receive reliable platform services in different scenarios such as live e-commerce and short video content e-commerce, to make more affordable and high-quality products sell easily and improve daily life. The international supply chain and logistics team integrates logistics, warehousing, transportation and other resources to build a global "goods accessible" network, providing 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. Qualifications Minimum Qualifications Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or relevant fields, with 3 years of experience in data mining, machine learning or operational research. Proficient in SQL and data analysis/modeling with R/Python. Familiarity with big data technologies like Hadoop, Spark, Hive, and Flink is a plus. 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 Prior experience in supply chain or logistics and practices in big data or algorithm engineering is desirable. About TikTok TikTok is the leading destination for short-form mobile video. Our global headquarters are in Los Angeles and Singapore, with offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product helps people express themselves, discover, and connect. Our diverse teams make that possible. We strive to do great things with great people, embracing curiosity, humility, and impact in a rapidly growing tech company. We foster an "Always Day 1" mindset to achieve meaningful breakthroughs for ourselves, our company, and our users. Diversity & Inclusion TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We celebrate diverse voices and strive to reflect the communities we reach. Job details Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Technology, Information and Internet Referrals increase your chances of interviewing at TikTok. Get notified about new Senior Data Scientist jobs in Singapore, Singapore. #J-18808-Ljbffr