ByteDance

Responsibilities

Team Introduction:

Governance and Experience team strives to build a worry-free shopping journey for our users on TikTok. We provide a trustworthy e-commerce experience by (1) eliminating malicious sellers, (2) ensuring listings are policy compliant, (3) ensuring users receive authentic products in the condition they expect, and (4) in the rare chance the order experience does not meet customer expectations, we make things right by providing hassle-free solutions.

We are looking for talented individuals to join our team in 2026. 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 ByteDance

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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 ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:

• Develop scientific metrics to measure success of E-Commerce governance and experience team.
• Develop the credit system for merchants and creators to incentivize good behavior.
• Work closely with engineers and product managers, and drive project execution and iteration by clear problem scoping and design

Qualifications

Minimum Qualifications

• BS degree in Computer Science, Statistics, Economy or other relevant majors with 0-1 year of work experience.
• Proficient in at least one software programming language, such as SQL/R/Python.
• Good self-driving ability and team cooperation ability, strong sense of responsibility, willingness and ability to challenge oneself and learn new knowledge.

Preferred Qualifications

• Experiences in Hadoop/Spark/Storm and other computing platforms and tools.
• Hands-on experience in open source machine learning frameworks such as pytorch and tensorflow.