Responsibilities:
● We are hiring a senior data scientist for the machine learning and advanced analytics DS team.
● Apply machine learning and advanced analytic methods to solve challenging problems and deliver scalable game solutions in development, publishing, and live operations.
● Establish scalable, efficient, automated processes and provide end-to-end data solutions with large-scale data analysis, experimentation, machine learning/deep learning/reinforcement learning model development, validation, and serving.
● Interact cross-functionally with various teams and provide actionable business insights for stakeholders.
Requirements:
● Graduated with a master’s or Ph.D. program in a quantitative discipline such as statistics, machine learning, computer science, math, economics, etc.
● Expertise in one or more of the following areas: machine learning & statistical learning, deep learning, reinforcement learning, statistical analysis, experimentation, NLP, computer vision, recommendation system, and any other data science-related domains.
● Experience utilizing analytics, inference, experimentation, or machine learning techniques in real-world applications is preferred.
● Excellent knowledge of data science methods and best practices, such as data analysis and visualization, supervised learning, unsupervised learning, and time series.
● Proficient in SQL and Python.
Top Skills
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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