The board
- Hours
- Full time
- Where
- US-California-Palo Alto
- Posted
- Sep 14
Business Unit
What the Role Entails
Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life of people around the world. Founded in 1998 with its headquarters in Shenzhen China, our guiding principle is to use technology for good.
We are not only a major video game publisher in the world, we also produce other high-quality digital content, enriching interactive entertainment experiences for people around the globe. We offer a range of services such as cloud computing, advertising, FinTech, and other enterprise services to support our clients' digital transformation and business growth.
Interactive Entertainment Group (IEG) is responsible for the R&D, operation, and development of the company's interactive entertainment business including games and eSports.
What you'd do
- 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.
- Develop and maintain robust data scraping and collection pipelines (web crawling, API ingestion, data wrangling) to gather competitive intelligence, market signals, and player/community data at scale.
- 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.
- 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. Hands on experience on fraud detection is a plus
- Proficient in Python and SQL.Solid understanding of modern AI/LLM and hands-on experience applying them to real-world problems is a plus
- Starts
- 2026-09-14