Responsibilities
The Live Platform Intelligence team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and creator engagement, which includes:
- Build models for automated and intelligent operations to improve the efficiency and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business.
- Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.
As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
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Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 3 months long internship period.
Successful candidates must be able to commit to either of the following Internships
- From January to June
- From May to August (Summer)
Responsibilities:
- Drive understanding of product usage and user behavior in the field of Live ecosystem.
- Support strategic planning and execution for long term business plans through in-depth analysis.
- Design and establish indicator systems for platform growth and risks, monitor and optimize coverage in each link, measure the performance of platform strategies and facilitate decision-making.
Qualifications
Minimum Qualifications
- Postgraduate who is currently pursuing a Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or a related technical discipline.
- Working level competency in one or more programming languages including SQL and Python are required. Understanding of ML models and how they can be leveraged to act upon a range of content and safety risks.
- Collaborative, data-driven, ownership, communication, analytical mindset
Preferred Qualification
- Previous work experience in quantitative analysis with relevant degree / experience is a plus
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com