Data Science Intern

Posted 3 Days Ago
Be an Early Applicant
Singapore, SGP
In-Office
Internship
Cloud • Fintech • Gaming • Social Media
The Role
Analyze large-scale gaming datasets using statistics, machine learning, forecasting, recommender systems, generative AI, experimentation, causal inference, and econometrics. Collaborate with product and engineering teams to build data-driven solutions, deliver stakeholder insights, and support innovative gaming applications. Contribute to technical documentation, knowledge sharing, and cross-team collaboration.
Summary Generated by Built In
About the Hiring TeamLevel Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world.
We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.What the Role Entails

• 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.

Who We Look For

• Master or PhD 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.

Other Requirements:
1. Please submit a personal list of gaming experience as part of the application.

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.

Skills Required

  • Master's or PhD degree in Statistics, Mathematics, Economics, Computer Science, Machine Learning, or a related quantitative discipline
  • Experience with statistical analysis, including probability, hypothesis testing, multivariate analysis, time series analysis, predictive modeling, and A/B experimentation
  • Proficiency in Python
  • Proficiency in SQL
  • Experience building complex data products and machine learning systems on large datasets
  • Excellent communication, collaboration, and execution capabilities
  • Strong business acumen
  • Passion for games and the gaming industry
  • Submit a personal list of gaming experience with the application
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The Company
115,849 Employees
Year Founded: 1998

What We Do

Tencent is a world-leading internet and technology company founded in 1998 in Shenzhen, China. It develops products and services spanning social platforms and messaging, online games, digital media, payments and financial technology, cloud and advertising solutions, utility software, and enterprise digital transformation. Its mission is to use technology for good and improve the quality of life of people around the world.

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