【About Us】

Tencent Games Global Publishing Center Tech Team is the international unit of Tencent Games, a leading global platform for game development, publishing and operation. Aiming to improve our games and transform the gaming industry, our mission is to solve the toughest challenges in gaming with technology.


With offices in Palo Alto and around the world, our growth strategy is to build upon attracting the best talent and creating an amazing work atmosphere that balances the energy of a start-up with the resources of a global innovation leader. As the world’s leading technology company, we maintain an entrepreneurial spirit and an open mindset.


If you are passionate about the gaming industry and eager to do groundbreaking work in a friendly, cross-cultural environment, we can provide unparalleled stability, resources, access to more than a billion players, and an international perspective.


If you like us are ambitious and self-driven, we invite you to explore Tencent Games Global Publishing Center Tech Team and take challenges that will create new adventures for billions of players.



1. Work with large-scale datasets and solve complex business and technical problems through analysis, modeling, and platform solutions.
2. Collaborate with cross-functional teams to run end-to-end experiments, including experiment design, experiment analysis, as well as communicating experiment results to partener and leadership team for making business decisions.
3. Partener with engineering and product team to build and deploy scalable experimentation platform solutions to support multiple products and studios.
4. Conduct applied research and develop methodology in experimentaiton, causal inference, causal learning, statistical models, and machine learning to solve business problems and create user value.
5. Explore opportunities broadly with open mindset and leverage various data science methods flexibly, in order to identify high-impact opportunities, initiate project ideas, prototype solutions, and drive project completion.
6. Contribute to data science best practice, process, training, and sharing, to build data science culture and technical advances.


【Qualifications and Skills】

- M.S., or Ph.D. in a quantitative discipline such as Statistics, Math,  Economics, Computer Science, Machine Learning, or equivalent practical experience. Ph.D. with Strong publication record preferred;
- 3+ years of experience applying analytics, inference, experimentation, or machine learning methods in business scenarios preferred;
- Breadth and depth knowledge of data science methods and best practices, such as data analysis and visualization, experimentation, causal inference, supervised learning, unsupervised learning, time series, probabilities and sampling methods;
- Experience programming in SQL, Python, R, or related language;
- Experience with Big Data technologies such as Hadoop, Hive, Spark, etc. preferred;
- Experience with building complex analytics/experimentation/machine learning platform on large datasets preferred.

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