Senior Data Scientist

Responsibilities TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. **Why Join Us**: Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. 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. Global E-Commerce business team hopes to provide users with more tailored and efficient consumption experience, enabling merchants to receive reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach. The international supply chain and 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 enhance consumer experience. **Responsibilities**: - Conduct data science and analytics for international e-commerce supply chain and logistics. - 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**: 1. 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. 2. Proficient in SQL and data analysis/modeling with R/Python. Familiarity with big data technologies like Hadoop, Spark, Hive, and Flink is a plus. 3. Knowledgeable in data analytics, mining techniques, and machine learning or optimization algorithms, with an understanding of deep learning principles. 4. Strong analytical and problem-solving skills, with the ability to learn quickly and work well in a team. 5. 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. TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. LI-JL