Logo of Huzzle


Data Science Intern - Los Angeles

Logo of Tencent


28d ago

🚀 Off-cycle Internship

Los Angeles

AI generated summary

  • You must be familiar with data mining, statistical models, and machine learning principles. Proficient in at least one programming language and experienced with recommendation algorithms. Strong in logical thinking, communication, and mathematical background.
  • You will research cutting-edge algorithms, analyze large-scale data, and develop strategies for user retention and improving user experience in gaming environments.

Off-cycle Internship

DataLos Angeles


  • Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life for people around the world.


  • Familiar with basic and latest research result in data mining, with a strong understanding of statistical models, related machine learning principles, and experience working on data mining related projects.
  • Familiar with machine learning, deep learning and recommendation algorithms such as clustering and classification, grasping and having deep understanding in at least one of them.
  • Proficient in at least one programming language, familiar with basic data structures and algorithms.
  • Higher priority for candidates familiar with graph models, including community discovery, graph embedding、influence diffusion models.
  • Higher priority for candidates familiar with causal inference or optimization algotirhms, and have strong
  • Higher priority for candidates having big data experience, and familiar with distributed computation framework such as Hadoop, spark, hive and etc.
  • Higher priority for candidates with strong logical thinking ability, communication ability and business understanding, and familiar with game situations. And candidates with better mathematics background are in favor.
  • Strong self-driven ability, team cooperation ability, anti pressure ability and studious candidates is preferred.

Area of Responsibilities



  • Research on state-of-the-art machine learning, deep learning, social-network data mining and recommendation algorithms with game data, help design, evaluate and improve the core algorithm and strategy for online AI serving.
  • Response for deep statistics analysis from large-scale data, mining for user behavior and attributes, building user portraits.
  • By datamining and analysis, solving user pain point and proposing strategies improving user retention.
  • Improving data analysis pipelines, combining business requirements and data, by using distributed computation platform, develop efficient and reliable data mining solutions.
  • Research on recommendation algorithm or matching algorithm in gaming environments.


Work type

Full time

Work mode



Los Angeles