Graduate Data Scientist

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

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.

About the Team - Data Application
Be part of TikTok's groundbreaking Data Application Team within the Video Cloud Infrastructure division, where we empower our Live CDN and ultra-edge CDN service teams to revolutionize video on demand and video streaming through data-driven insights and cutting-edge algorithms. By harnessing the vast log data generated by our CDNs, we develop intelligent tools to optimize performance, minimize costs, and enhance user experiences. As part of our lean and agile team, you'll have the opportunity to make a significant impact and shape the future of video streaming for billions of users worldwide.

Responsibilities
- Analyze massive log data to identify issues in online services and provide optimization solutions.
- Construct and decompose indicators for special projects focusing on business bills, cost, and quality governance. Provide quantitative analysis in areas such as architecture, strategy, and resource capacity.
- Assist in troubleshooting online indicator problems and propose effective strategies or solutions using data mining and statistical modeling techniques.
- Guide business optimization through offline simulation and data mining methodologies. Provide expected revenue analysis, A/B experiment analysis, and revenue recovery assessments for optimization actions.
- Document experiences into Standard Operating Procedure (SOP) documents and collaborate with Software Development team to platformize data capabilities, enhancing analysis efficiency for similar problems.
- Extend data capabilities horizontally to other business areas, broadening the scope of work and impact.