Responsibilities:

Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China.

Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world.

Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players.

Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.

Responsibilities:

• Work with large-scale datasets to solve complex business and technical problems in gaming through analytics, forecasting, machine learning, recommender system, generative AI, experimentation, causal inference, and econometrics.
• Collaborate with studios as well as product and engineering teams to explore and develop data-informed strategies in gaming business and drive the implementation of solutions to generate business value. 
• Interact cross-functionally with various teams and provide actionable business insights to internal and external stakeholders.
• Constantly learn the latest data science, ML and generative AI knowledge and technologies, effectively utilize advanced technologies and tools for application attempts, and explore innovation in gaming application research.
•  Actively participate in technical sharing, documentation construction, cross-team communication and collaboration. 

Requirements:

• M.S., or Ph.D. in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Machine Learning, or equivalent practical experience. 
• Experience in statistical analysis (probabilities, hypothesis testing, multivariate analysis, time series analysis, predictive modeling, A/B experiments, etc.). 
• Experience with building complex data products and machine learning systems on large datasets preferred. 
• Experience programming in SQL, Python, or related languages. 
• Excellent communication, collaboration, execution capabilities, and keen business acumen. 
• Willingness to international travel for studio collaboration and communication with external stakeholders.
• Passionate about games and the gaming industry. 
• Consulting background is welcome.

Location State(s)