Data Science Intern

About Tencent

Tencent is an Internet-based platform company founded in Shenzhen, China, in 1998. We use technology to enrich the lives of Internet users and assist the digital upgrade of enterprises. Our mission is Value for Users, Tech for Good. We embrace a culture of teamwork & creativity and are driven by our values - Integrity, Proactivity, Collaboration and Creativity.

We are rapidly expanding our international operations and are looking for top talent to propel us forward. Combining the results-oriented nature of a start-up with the resources of a profitable and leading Internet company, Tencent offers a unique opportunity for aspiring individuals to thrive.

Job Description

• 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 in-depth statistical analysis from large-scale data, mining for user behavior and attributes, building user portraits.
• Conduct sentiment analysis, topic modeling and summarization on massive user comments.
• Identify user pain points through massive data 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 AI agents for upgrading existing working pipeline.

Job Requirements

• 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.
• Strong self-driven ability, team cooperation ability, anti-pressure ability and studious candidates is preferred.
• Proficient in at least one programming language, familiar with basic data structures and algorithms.
• Prefer candidates with research experience such as academic publications.
• Prefer candidates with NLP experience such as sentimen analysis, text summary, LLM fine-tune, AI agents.
• Prefer candidates familiar with causal inference or optimization algorithms.
• Prefer candidates having big data experience, and familiar with distributed computation framework such as Hadoop, spark, hive and etc.
• Prefer candidates with strong logical thinking ability, communication ability and business understanding, and familiar with game situations.