Senior Data Scientist
5 dagen geleden
About Tencent Games
Tencent Games is a leading global platform for game development, publishing, and operation. Our mission is to deliver engaging and original gaming experiences to a worldwide audience, while building a community that fosters inclusivity, connection, and accessibility.
Our Team
We are a dynamic and entrepreneurial team, centered on attracting top talent and cultivating an exceptional work environment. Our growth strategy is focused on innovation, with a balance between the dynamism of a start-up and the resources of a global innovation leader.
Job Summary
We are seeking a Senior Data Scientist to join our Machine Learning and Advanced Analytics team. As a key member of our team, you will apply machine learning and advanced analytic methods to solve challenging problems and deliver scalable game solutions in development, publishing, and live operations.
Key Responsibilities
- Apply machine learning and advanced analytic methods to solve complex problems and deliver scalable game solutions.
- 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
- Master's or Ph.D. 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.
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