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Data Science Intern - Palo Alto

Logo of Tencent


8d ago

🚀 Off-cycle Internship

Palo Alto

AI generated summary

  • You: M.S. or Ph.D. in relevant field, statistical analysis experience, skilled in SQL/Python, passion for gaming, excellent communication, consulting background a plus.
  • You will work with large datasets, collaborate with teams, provide insights, learn new technologies in data science, and engage in technical sharing and collaboration.

Off-cycle Internship

DataPalo Alto


  • Level Infinite is a global game publisher offering a comprehensive network of bespoke services for games, development teams and studios around the world.


  • M.S., or Ph.D. 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


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