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A leading global e-commerce company in London is looking for a Data Scientist to develop data-driven insights and machine learning models. This role involves transforming raw data into business intelligence, working with data engineers and product managers. Candidates should have a Master's degree in Data Science and 3+ years of relevant experience, with proficiency in Python or R. The company offers a competitive salary and benefits package.
JD.com is seeking a Data Scientist to develop data-driven insights and machine learning models that power our personalization, recommendation, and analytics systems. In this role, you will transform raw data into business intelligence, working closely with data engineers, product managers, and business teams to improve decision-making and enhance customer experience across JD.com's international e-commerce operations. Learn more: https://corporate.jd.com/
JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, JD.com has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Ranked 47th on the Fortune Global 500, JD.com is China\'s largest retailer by revenue. In 2023, JD.com reported revenues of US$152.8 billion and served approximately 600 million active customers.
We are dedicated to building a digitally intelligent, cross-border supply chain and global retail infrastructure. Leveraging our global supply chain capabilities, JD.com continues to expand in markets where our competitive strengths shine. Currently, JD.com operates globally, with business activities in countries such as China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE, and many others, reaching customers in every corner of the world.