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TikTok

Data Scientist Graduate (TikTok Platform Responsibility-Data Science) - 2027 Start

Aug 6, 2026• Singapore

About us

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

★ 4.5 out of 5 · 6 reviews

  • Size: 10,000+ employees
  • Industry: Technology: Consumer Internet
View company profile ›

Why you should apply for a job to TikTok:

  • 4.5/5 in overall job satisfaction
  • 4.5/5 in supportive management
  • 100% say women are treated fairly and equally to men
  • 100% would recommend this company to other women
  • 100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

About the Team
TikTok's data scientist team is a critical component of the platform's success, responsible for leveraging data to enhance user experience, optimize content delivery, and drive business decisions. As a leading social media app known for its short-form video content, TikTok relies heavily on data science to stay ahead in the market.

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:
- Conduct data analysis in LIVE related business, including watching experience, creator ecosystem, agency management, algorithm improvement and etc..
- Design metrics framework to measure product healthiness, keep tracking of core metrics and understand root causes of metric movements.
- Conduct scientific evaluation with statistical methods, including A/B testing and casual inference.
- Identify growth opportunities with data analytics, and drive business decisions. Work with PM/MLE/RD to deliver product and strategy improvement.
- Research data science theories and methodology, improve analysis efficiency and data product tools.

Qualifications

Minimum Qualifications:
- Individuals who are completing or have recently completed a Math/Computer/Machine Learning major.
- Expertise in SQL and programming in Python or R.
- Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. Strong communication and passion about product challenges.

Preferred Qualifications:
- Experience of LIVE related business.
- Knowledge of machine learning and recommendation systems.
- Experience with big data technologies.

Responsibilities

Responsibilities

About the Team
TikTok's data scientist team is a critical component of the platform's success, responsible for leveraging data to enhance user experience, optimize content delivery, and drive business decisions. As a leading social media app known for its short-form video content, TikTok relies heavily on data science to stay ahead in the market.

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:
- Conduct data analysis in LIVE related business, including watching experience, creator ecosystem, agency management, algorithm improvement and etc..
- Design metrics framework to measure product healthiness, keep tracking of core metrics and understand root causes of metric movements.
- Conduct scientific evaluation with statistical methods, including A/B testing and casual inference.
- Identify growth opportunities with data analytics, and drive business decisions. Work with PM/MLE/RD to deliver product and strategy improvement.
- Research data science theories and methodology, improve analysis efficiency and data product tools.

Qualifications

Qualifications

Minimum Qualifications:
- Individuals who are completing or have recently completed a Math/Computer/Machine Learning major.
- Expertise in SQL and programming in Python or R.
- Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. Strong communication and passion about product challenges.

Preferred Qualifications:
- Experience of LIVE related business.
- Knowledge of machine learning and recommendation systems.
- Experience with big data technologies.

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Additional Information

  • Posted: Aug 6, 2026
Apply on company site
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