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Data Science Intern - Palo Alto

Logo of Tencent


24d ago

🚀 Off-cycle Internship

Palo Alto

AI generated summary

  • Seeking candidate with M.S. or Ph.D. in quantitative field, strong statistical analysis skills, experience in building data products and machine learning systems, proficiency in SQL, Python, or related languages, excellent communication and business acumen, passion for gaming, and potentially a consulting background.
  • Utilize large datasets to solve complex gaming problems through analytics and machine learning. Collaborate with teams to develop data-driven strategies, provide insights to stakeholders, and stay up-to-date on the latest technologies for innovative research and implementation in gaming.

Off-cycle Internship

DataPalo Alto


  • Pursuing a M.S., or Ph.D. degree in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Machine Learning, or equivalent practical experience.
  • 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.
  • Experience programming in SQL, Python, or related languages.
  • Excellent communication, collaboration, execution capabilities, and keen business acumen.
  • Passionate about games and the gaming industry.
  • Consulting background is welcome.

Education requirements

Currently Studying

Area of Responsibilities



  • Work with large-scale datasets to solve complex business and technical problems in gaming through analytics, forecasting, machine learning, recommender system, generative AI, experimentation, causal inference, and econometrics.
  • Collaborate with studios as well as product and engineering teams to explore and develop data-informed strategies in gaming business and drive the implementation of solutions to generate business value.
  • Provide actionable business insights to internal and external stakeholders.
  • Constantly learn the latest data science, ML and generative AI knowledge and technologies, effectively utilize advanced technologies and tools for application attempts, and explore innovation in gaming application research.
  • Actively participate in technical sharing, documentation construction, cross-team communication and collaboration.


Work type

Full time

Work mode



Palo Alto