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Internship

Data Science Intern - Palo Alto

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Tencent

14d ago

🚀 Off-cycle Internship

Palo Alto

AI generated summary

  • You need an advanced degree in a quantitative discipline, proficiency in statistical analysis and programming, experience with large datasets and machine learning systems, strong communication and business skills, and a passion for the gaming industry. Consulting background is a plus.
  • You'll work on large datasets, collaborate with teams, provide insights, learn latest data science technologies, and actively participate in technical sharing and collaboration.

Off-cycle Internship

DataPalo Alto

Description

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

Requirements

  • 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

Masters
PhD

Area of Responsibilities

Data

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.

Details

Work type

Full time

Work mode

office

Location

Palo Alto