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Tencent

Senior Data Scientist

Posted 8 Days Ago
Be an Early Applicant
Singapore
Senior level
Singapore
Senior level
The Senior Data Scientist will focus on applied machine learning and growth within the team, developing AI bots using reinforcement learning, optimizing AI services, running experiments to improve model performance, and researching new methods for enhancement.
The summary above was generated by AI

Responsibilities:

About Tencent:

Tencent Games was established in 2003. We are a leading global platform for game development, operations and publishing, and the largest online game community in China.

Tencent Games has developed and operated over 140 games. We provide cross-platform interactive entertainment experience for more than 800 million users in over 200 countries and regions around the world. Honor of Kings, PUBG MOBILE, and League of Legends, are some of our most popular titles around the world.

Meanwhile, we actively promote the development of esports industry, work with global partners to build an open, collaborative and symbiotic industrial ecology, and create high-quality digital life experiences for players.

About Level Infinite:

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.

Description:

1. We are hiring senior data scientist for the applied machine learning and growth DS team. 
2. Join our team to build AI bots in games using reinforcement learning. 
3. Support the production of scalable and optimised AIService for AI bots. 
4. Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process. 
5. Research new approaches to improve the performance.

Requirements:

Requirements:
1. Currently enrolled in a Master's or Ph.D. program in a quantitative discipline such as statistics, machine learning, computer science, math, etc. 
2. Expertise in  reinforcement learning. Have rich practical experience. Have strong publication is perferred.
3. Proficient in Python or other related programming languages. Proficient in C++ is preferred.
4. Experience in game design is preferred; 
5. Have a good team spirit and strong communication skills.

Top Skills

C++
Python

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