Data Science Intern

1 Month ago • Upto 1 Years • Data Analyst

Job Summary

Job Description

As a Data Science Intern at Level Infinite, you'll analyze large datasets to solve complex business and technical challenges in gaming. This involves using analytics, forecasting, machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics. You'll collaborate with product and engineering teams, deliver actionable insights, stay updated on data science advancements, and engage in knowledge sharing. The role requires proficiency in Python and SQL, strong analytical skills, and a passion for gaming.
Must have:
  • Analyze large datasets
  • Machine learning experience
  • Proficient in Python & SQL
  • Excellent communication skills
  • Passion for gaming
Good to have:
  • Experience building data products
  • Experience with A/B testing

Job Details

About the Hiring Team

Level 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

Responsibilities: • 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

• 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. • Proficient in Python and SQL. • Excellent communication, collaboration, execution capabilities, and keen business acumen. • Passionate about games and the gaming industry.

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.

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About The Company

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, Tencent's guiding principle is to use technology for good. Our communication and social services connect more than one billion people around the world, helping them to keep in touch with friends and family, access transportation, pay for daily necessities, and even be entertained.


Tencent also publishes some of the world's most popular video games and other high-quality digital content, enriching interactive entertainment experiences for people around the globe.


Tencent also offers a range of services such as cloud computing, advertising, FinTech, and other enterprise services to support our clients' digital transformation and business growth.


Tencent has been listed on the Stock Exchange of Hong Kong since 2004.

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