International Logistics Analyst
2 weeks ago
About the Company
TikTok PTE. LTD. is a global e-commerce business with international short video product as the carrier.
We are committed to becoming the first choice for users to discover and purchase good products with affordable prices.
About the Team
The 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.
Our Mission
We aim to integrate 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.
Your Role
You will be responsible for conducting data science and analytics for international e-commerce supply chain and logistics, applying the latest statistics and machine learning methods to merchant and supply chain management to facilitate business growth.
Key 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.
- Skilful 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.
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