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TikTok

TikTok Shop - Data Scientist, Operations

London, United KingdomPosted Jul 3, 2026

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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

The TikTok commerce team builds the solutions that help businesses engage audiences, inspire product discovery, and create commercial experiences on a platform where brands and merchants connect meaningfully with creators and communities.

We work closely with merchants, creators, and partners to support sustainable business growth while keeping the experience safe and trusted for the community. As the business scales across global markets, we take on complex challenges across content, commerce, trust, and the differing needs of each local market.

You will help shape the future of AI-native commerce, where discovery, entertainment, and buying happen in the same place.

The Data Science team is a global, full-stack data team that plays an important role in empowering and driving the growth of TikTok Shop. Through impactful data insights and data products, the team focuses on areas such as metrics development, product, operation, algorithm improvement, data infrastructure, and data product development. The team enables informed decision-making and helps optimize the performance and effectiveness of TikTok Shop.

As a Data Scientist in this role, you will have the opportunity to collaborate closely with a variety of teams within the commerce business, including product, operation, marketing, and other teams. You will be able to leverage your data analytical expertise and strong business acumen to accelerate the growth of commerce business.

Responsibilities
- Responsible for data analysis of e-Commerce operation strategy including Merchant Strategy, Creator Strategy, Business performance and reporting;
- Design monitoring systems independently to reflect any changes of business in time.
- Cooperate with Ops team to set strategy, e.g. finding potential creators, measuring LTV of users, figuring out the growth strategy of merchants, etc.;
- Follow up the data analysis of regional operation teams in several overseas markets, support the operation effect and give follow-up optimization suggestions;
- Cooperate with PM / Ops team / R&D, promote the implementation of optimization scheme, and bring about the actual improvement and growth of the business.

Qualifications

Minimum Qualification(s):
- Bachelor's degree or above.
- At least 3 years of working experience in data analysis and/or science.
- Proficient in SQL and Tableau and/or other relevant languages.
- Experience operating in an analytical role within an e-Commerce or similar environment.
- Self-driven, ability to learn new information quickly and adapt to working with global staff in a diverse and cross-functional environment.

Preferred Qualification(s):
- Majoring in statistics or data science.
- Familiarity with common statistical methods and applications (A/B testing, probability, regression).
- Experience with Python or R.

Responsibilities

Qualifications

Qualifications

Minimum Qualification(s):
- Bachelor's degree or above.
- At least 3 years of working experience in data analysis and/or science.
- Proficient in SQL and Tableau and/or other relevant languages.
- Experience operating in an analytical role within an e-Commerce or similar environment.
- Self-driven, ability to learn new information quickly and adapt to working with global staff in a diverse and cross-functional environment.

Preferred Qualification(s):
- Majoring in statistics or data science.
- Familiarity with common statistical methods and applications (A/B testing, probability, regression).
- Experience with Python or R.

About TikTok

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

Size: 10,000+ employees
Industry: Technology: Consumer Internet

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