Role overview
JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, is a leading supply chain-based technology and service provider. The company’s cutting-edge retail infrastructure seeks to enable consumers to buy whatever they want, whenever and wherever they want it. The company has opened its technology and infrastructure to partners, brands and other sectors, as part of its "Retail as a Service" offering to help drive productivity and innovation across a range of industries. JD.com’s business has expanded across retail, technology, logistics, health, industrials, property development and international business. JD.com is ranked 44th on the Fortune Global 500 list and is China’s largest retailer by revenue, serving over 600 million annual active customers. The company has been listed on NASDAQ since 2014, and on the Hong Kong Stock Exchange since 2020. Committed to the principles of customer first, innovation, dedication, ownership, gratitude, and integrity, the company's mission is to make lives better through technology, striving to be the most trusted company in the world.
What you'll work on
- Design, implement, and evaluate machine learning models for demand forecasting, replenishment, and fulfilment optimization.
- Develop innovative algorithmic solutions to complex forecasting and supply chain problems in close collaboration with product, engineering, and operations teams.
- Contribute to the technical direction of the fulfilment intelligence platform and influence model architecture, system design, and best practices.
What we're looking for
- Professional experience in e-commerce, retail forecasting, fulfilment logistics, inventory planning, or similar domains.
- Hands-on experience with modeling tools such as Python, PyTorch, TensorFlow, scikit-learn etc.
- Hands-on experience building large-scale distributed machine learning systems such as Hadoop, Spark etc.