Data Scientist Graduate (E-Commerce Governance) - 2027 Start

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TikTok is seeking a Data Scientist Graduate (E-Commerce Governance) for a 2027 start, onsite in Seattle, to address risks in e-commerce and help build a better ecosystem. As part of the Governance and Experience Algorithm team, you will develop metrics to measure governance success, design a merchant and creator credit system, and collaborate with engineers and PMs to scope problems and drive projects. Ideal candidates hold a bachelor’s in CS, Stats, Economics or related field and are proficient in SQL, Python or R; experience with Hadoop/Spark and PyTorch or TensorFlow is a plus. Apply early; you may apply to two roles and include your availability and graduation date. We value accountability and teamwork.

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The Governance and Experience Algorithm team was established in September 2020 and its main job is to support the following businesses with the most advanced AI technology：
- Combat any kinds of risks/violations issues in E-commerce scenarios.
- Build an E-commerce ecosystem and improve platform service capabilities

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. 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 our Company 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

Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Statistics, Economy or a related discipline. • 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.