Data Science Intern 工作, Tencent Games 公司招聘中 - Ricebowl

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

• Analyze large-scale datasets to solve complex business and technical challenges in gaming through analytics, forecasting, machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics.
• Design and deploy AI Agents and Chatbots that integrate diverse data sources and best-practice analytical frameworks to provide automated, high-fidelity insights for stakeholders.
• Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that enhance business value.
• Deliver actionable business insights to internal and external stakeholders.
• Stay updated with the latest advancements in data science, machine learning, and generative AI, utilizing these technologies to innovate in gaming applications.
• Engage in technical knowledge sharing, documentation, and cross-team collaboration.

Who We Look For

• Master or PhD degree in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Machine Learning, etc.
• 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.
• Proficient in Python and SQL.
• Have an interest in developing agentic systems and multi-agent workflows to enhance player experiences and automate complex internal game-research processes. Has relevant experiences would be preferred.
• Stay up to date with LLM frameworks (e.g., LangChain, CrewAI, AutoGen) and identifying use cases where AI can provide value for in game-research.
• Excellent communication, collaboration, execution capabilities, and keen business acumen.
• Passionate about games and the gaming industry.