Data Scientist

About NetEase Games:

As a leading internet technology company based in China, NetEase, Inc. (NASDAQ: NTES and HKEX:9999, “NetEase”) provides premium online services centered around content creation. With extensive offerings across its expanding gaming ecosystem, the Company develops and operates some of China’s most popular and longest-running mobile and PC games. Powered by industry-leading in-house R&D capabilities in China and globally, NetEase creates superior gaming experiences, inspires players, and passionately delivers value for its thriving community worldwide. By infusing play with culture and education with technology, NetEase transforms gaming into a meaningful vehicle to build a more entertaining and enlightened world.

NetEase’s ESG initiatives are among the best in the global media and entertainment industry, earning it a distinction as one of the S&P Global Industry Movers and an “A” rating from MSCI. For more information, please visit: http://ir.netease.com/

Job Responsibilities:

• Utilize quantitative and modeling analysis methods to analyze and optimize game-related products, providing data interpretation and strategic recommendations to support business decision-making and help develop actionable strategies.
• Participate in A/B test design and analysis, user behavior tracking and retention analysis, as well as marketing campaign performance evaluation, offering systematic data capabilities and in-depth analytical insights.
• Continuously explore the application of cutting-edge machine learning algorithms (e.g., recommendation systems, graph neural networks, reinforcement learning, etc.) in gaming scenarios such as recommendation, social features, and matchmaking system optimization.

Qualifications:

• Master's or Ph.D. student in data mining, information retrieval, recommendation systems, or related fields.
• Strong programming skills with proficiency in Python, SQL, and shell scripting; expertise in PyTorch, TensorFlow, and other common neural network frameworks; solid understanding of commonly used machine learning methods.
• Sensitive to core performance metrics, with great communication and teamwork skills; high sense of responsibility, and ability to proactively drive project execution.
• Passionate about games and fluency in Chinese as working partners and stakeholders are from China.
• Candidates with publications in top conferences (e.g., ACL, NAACL, EMNLP, AAAI, NeurIPS, KDD, IJCAI, SIGIR) or with relevant competition experience are preferred.