Advanced Supply Chain and Logistics Data Scientist
1 week ago
About the Role
Company OverviewTikTok, a leading global e-commerce platform, is seeking an experienced Advanced Supply Chain and Logistics Data Scientist to join our team. Our company relies on TikTok's vast e-commerce scene to optimize logistics fulfillment services using cutting-edge technologies.
Job DescriptionWe are looking for a highly skilled data scientist to develop deep learning and operations research models for supply chain and logistics optimization. The ideal candidate will utilize e-commerce big data and deep learning models to predict end-to-end estimated time of arrival (ETA) and other logistics events.
The successful candidate will also build logistics network knowledge graphs and predict spatio-temporal trajectory sequences of express packages using deep learning, statistical inference, and algorithmic methods. Additionally, they will use natural language processing (NLP) and large language models (LLMs) to handle address-related problems such as verification and suggestion.
Furthermore, the candidate will apply time series forecasting techniques to predict sales at different granularities and horizons, including warehouse-level manpower forecasting and inventory-level demand forecasting. They will also participate in the growth of e-commerce merchants/creators, responsible for growth algorithms including potential mining, tiering, outreach, and growth.
Candidates with strong machine learning and deep learning skills who can detect important factors and model relationships between future and history performance will be preferred. Familiarity with massive e-commerce information and ability to mine data to predict product performance, improve operation strategy, and pricing/subsidy strategy is essential.
A bonus point will be given for candidates having published papers at conferences like KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RecSys or having participated in data mining/machine learning competitions.
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