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

1. Collecting, analyzing, and interpreting data to provide data-driven insights and solutions to business problems in the gaming industry, including various decision-making scenarios under R&D, marketing and operation stages.

2. Developing scalable, efficient, and automated processes for data analysis, machine-learning model development, model validation, and serving.

3. Collaborating with data product managers and data engineers to design and implement end-to-end solutions in game production, publishing, and live-ops.

4. Researching new machine learning approaches, such as AIGC-related technologies, and exploring their potential applications in the gaming industry.

Requirements:

1) A Master's or Ph.D. degree in a quantitative discipline, such as computer science, machine learning, or math/statistics. Ph.D. with a strong publication record is preferred.

2) A passion for applying mathematical models and computer science technology to data-driven business decision-making, along with profound insights and understanding of the gaming industry.

3) Expertise in mathematical modeling and statistical analysis, including probabilities, time series analysis, machine learning models, A/B testing, etc.

4) Proficiency in programming languages such as Python, SQL, or related languages.

Location State(s)