Data Science Intern (Analytics)

Interactive Entertainment Group (IEG) is responsible for the R&D, operation, and development of the company's interactive entertainment business including games and eSports. Through online gaming, live broadcasts, and offline eSports, IEG assists the company in leading the global interactive entertainment market to create better interactive entertainment content experiences for users.

Responsibilities:

• 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.

• 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.

Requirements:

• Pursuing a M.S., or Ph.D. 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.

• Excellent communication, collaboration, execution capabilities, and keen business acumen.

• Passionate about games and the gaming industry.

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.