WeChat Tech Intern (Data Scientist - Safety Strategies)

3 Months ago • All levels • Data Analyst

About the job

Job Description

Join Tencent's WeChat team as a Data Scientist Intern and leverage data analysis and machine learning to protect users from malicious activities. You'll analyze behavioral trends, build models, and contribute to the safety and security of the WeChat ecosystem.
Must have:
  • Data Analysis
  • Machine Learning
  • Python Programming
  • Communication Skills
Good to have:
  • C/C++/Go
  • Deep Learning
  • Fraud Detection
  • Mandarin Fluency
Perks:
  • Full-Time Conversion
  • International Exposure
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Responsibilities:

About Tencent

Tencent is an Internet-based platform company founded in Shenzhen, China, in 1998. We use technology to enrich the lives of Internet users and assist the digital upgrade of enterprises. Our mission is "Value for Users, Tech for Good". We embrace a culture of teamwork & creativity and are driven by our values - Integrity, Proactivity, Collaboration and Creativity.



We are rapidly expanding our international operations and are looking for top talent to propel us forward. Combining the results-oriented nature of a start-up with the resources of a profitable and leading Internet company, Tencent offers a unique opportunity for aspiring individuals to thrive.



About WeChat

With over 1.2 billion users worldwide, WeChat is changing the mobile landscape by connecting people, services, and businesses in China and around-the world. The WeChat team in Singapore is responsible for managing and growing our core product including messaging and social networking for users around the world.



Join the WeChat team and play an impactful role in keeping people around the world connected, help redefine how people use their mobile devices to communicate and interact online and to better understand user behaviour and preferences of users worldwide.



This internship offers a conversion pathway into a full-time position with good performance levels.

What you will be doing:

  • 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

Requirements:

Requirements and Key Competencies

  • Bachelor degree 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
  • 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
  • Fluency in both English and Mandarin to deal with international stakeholders and stakeholders who are based in HQ
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About The Company

Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life of people around the world.


Founded in 1998 with its headquarters in Shenzhen, China, Tencent's guiding principle is to use technology for good. Our communication and social services connect more than one billion people around the world, helping them to keep in touch with friends and family, access transportation, pay for daily necessities, and even be entertained.


Tencent also publishes some of the world's most popular video games and other high-quality digital content, enriching interactive entertainment experiences for people around the globe.


Tencent also offers a range of services such as cloud computing, advertising, FinTech, and other enterprise services to support our clients' digital transformation and business growth.


Tencent has been listed on the Stock Exchange of Hong Kong since 2004.

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