Data Scientist Intern

Posted Yesterday
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Singapore
Internship
Gaming • Software • Metaverse
The Role
The Data Scientist Intern will research machine learning and AI algorithms, conduct statistical analysis on game data, identify user pain points, and improve data analysis processes. The role involves developing data mining solutions and enhancing AI pipelines.
Summary Generated by Built In

Business UnitLIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices.

About the Hiring TeamLightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc.

What the Role Entails

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.

Who We Look For

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.

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.

Top Skills

Deep Learning
Machine Learning
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The Company
HQ: Palo Alto, CA
107,879 Employees
On-site Workplace
Year Founded: 1998

What We Do

Tencent uses technology to enrich the lives of Internet users.
Our communications and social platforms Weixin and QQ connect users with each other, with digital content and daily life services in just a few clicks.
Our high performance advertising platform helps brands and marketers reach out to hundreds of millions of consumers in China.
Our financial technology and business services support our partners' business growth and assist their digital upgrade.
We invest heavily in talent and technological innovation, actively participating in the development of the Internet industry.
Tencent was founded in Shenzhen, China, in 1998, and listed on the Main Board of the Stock Exchange of Hong Kong since June 2004.

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