Data Science Intern
fulltime
Responsibilities:
- Analyse behavioural trends to identify malicious activities and detect anomalies in the WeChat ecosystem via data analysis and machine learning
- Devise appropriate strategies to track fraudulent accounts and protect users from spam or fraudulent activity
- Deploy and maintain machine learned models to help detect malicious accounts
- Identify business problems through data analytics and devise appropriate solutions
- Build user profiling analytics to better help categorize WeChat users and assess their account's safety, engagement, and other user needs
- Build and design data dashboards to monitor key metrics and provide other product insights
- Support the Product Team in designing better user flows in order to improve WeChat's user experience
- Collaborate with the Legal Team to align data operations to be compliant with relevant data privacy and other best practices
Requirements:
- Must be currently enrolled in an undergraduate or graduate degree program in Computer Science, Data Science, Mathematics, Economics, or Statistics or similar quantitative field
- Ability to communicate complex ideas to non-technical stakeholders in a way they can easily understand and appreciate.
- Experience on building machine learning or deep learning solutions is preferred
- Good knowledge of Python programming language, C/C++/Go programming language is preferred
- Self-driven, innovative, collaborative, with good communication and presentation skills, able to translate between business and technical audiences
- Have no more than 1.5 school years remaining at the time of entry into their internship
- Must be able to provide full-time internship employment (Mon-Fri) for a period no shorter than three months, or part-time internship employment (minimum 5 days/week) for a period no shorter than five months
- Prior internet industry work or internship experience preferred
- Fluency in both English and Mandarin to deal with international stakeholders and stakeholders who are based in HQ#
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