About the Hiring Team

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.

What the Role Entails

1. Develop models for multi-variate time series prediction of UA marketing outcomes and fine-tune algorithms for accurate forecasting. 2. Design methodologies to measure KOL advertising campaign performance and analyze data, derive insights, and provide actionable recommendations. 3. Conduct exploratory data analysis, identify patterns and collaborate with cross-functional teams. 4. Stay updated on ML trends, propose innovations, and adapt to evolving challenges.

Who We Look For

1. Currently enrolled in a Master's or Ph.D. program in a quantitative discipline such as statistics, machine learning, computer science, math, etc. 2. Expertise in one or more of the following areas: machine learning & statistical learning, deep learning, reinforcement learning, NLP, computer vision, recommendation system, and any other data science related domains; Have rich practical experience. 3. Preferably, experience in the game industry, with a focus on User Acquisition (UA) and marketing. 4. Proficient in Python or other related programming languages. 5. Have a good team spirit and strong communication skills.

Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.