Data Science Intern at Tencent

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

14 Aug, 26

Salary

0.0

Posted On

16 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Data Mining, Recommendation Algorithms, Statistical Modeling, Programming, Data Structures, Algorithms, Graph Models, Causal Inference, Optimization Algorithms, Big Data, Hadoop, Spark, Hive, Distributed Computation

Industry

Software Development

Description

Business Unit LIGHTSPEED 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 Team Lightspeed 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 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. Who We Look For Qualifications： 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. 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. Who we are 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. 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.

Responsibilities

Research and implement state-of-the-art machine learning and recommendation algorithms to improve online AI serving and user retention. Perform large-scale data analysis to build user portraits and develop efficient data mining pipelines using distributed computation platforms.