【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.

 

【Responsibilities】

* Join a highly skilled data science team to mine through data to identify data-driven opportunities in game production, publishing and live-ops
* Work with large datasets and apply advanced analytic methods to solve challenging problems and to deliver scalable solutions.
* Establish scalable, efficient, automated processes and provide end-to-end data products with large-scale data analysis, A/B testing, machine/deep learning model development, validation and serving.
* Interact cross-functionally with various teams and provide actionable business insights for stakeholders.
* Research new machine learning approaches.

 

【Qualifications and Skills】

* MS/PhD degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields. Ph.D. with Strong publication record preferred;
* 3+ years of experience of building machine learning models for business applications;
* Deep and extensive knowledge in one or more of the following areas: Deep Learning, Reinforcement Learning, Statistical Analysis, NLP, Computer Vision, Recommendation System, Big Data technologies, and any other data science related domains.
* Expert in statistical analysis (probabilities, hypothesis testing, multivariate analysis, time series analysis, generalized linear model, A/B experiments) ;
* Experience in Python, SQL, Java, C++ or related languages;
* Experience with Big Data technologies such as Hadoop, Spark, Pig, Hive, etc. is preferred.
* Ability to understand complex subjects clearly and proposing actionable data-driven solutions to them. Good business acumen and communication skills is a plus.

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