TikTok Shop - Data Scientist, Global Moderation

About the Team E-commerce's Governance and Experience (GNE)

is a global team striving to achieve full satisfaction from

customers, promoting a sustainable and risk-free sales environment,

and providing the perfect purchase experience. Global Moderation is

part of the GNE organization. Our mission is to deliver trustworthy

and excellent service experiences for every user of TikTok Shop.

Global Moderation is looking for a data scientist who is dedicated

to data insight and data solutions, helping to ensure a safe and

trustworthy marketplace for our buyers, sellers and creators.

Roles & Responsibilities

Data Infrastructure &

Automation : Design, build, and maintain scalable datasets to

support advanced modeling and experimentation. Develop automated

data pipelines and monitoring systems using Python / SQL, and build

interactive dashboards for key stakeholders.

Modeling & Indicator Systems : Own the end-to-end

development of metrics and predictive models for e-commerce

moderation. Design and optimize indicator systems across moderation

quality, efficiency, and cost. Build statistical and machine

learning models to forecast risks, detect anomalies, and evaluate

trade-offs.

Experimentation & Insights :

Conduct deep-dive analyses to uncover drivers of business

performance and user behavior. Apply statistical tests, A / B

experiments, and causal inference techniques to validate

hypotheses. Translate findings into actionable strategies to

improve moderation operations.

Collaboration

& Impact : Partner closely with cross-functional teams

(operations, policy, product, and engineering) to provide decision

science support. Deliver compelling insights through data

storytelling and tailored recommendations to drive measurable

business impact.

Minimum

Qualifications

Bachelor's degree or

above in Computer Science, Statistics, Mathematics, Data Science,

or other quantitative fields.

5+ years of

hands-on experience in data science or related roles, with a strong

track record of applying statistical and analytical methods to

solve real-world business problems.

Proficiency in SQL and Python for data extraction,

transformation, modeling, and automation.

Solid foundation in statistics, hypothesis testing, and

experimental design (e.g., A / B testing, causal

inference).

Experience with BI tools (Tableau,

Power BI, Metabase) and ability to create clear, actionable data

visualizations.

Strong communication and

structured storytelling skills, with the ability to adapt insights

for both technical and non-technical audiences.

• Strong collaboration and stakeholder management skills;

proven ability to drive outcomes through data-driven

recommendations.

Preferred

Qualifications

Familiarity with

machine learning techniques such as classification, clustering,

anomaly detection, and predictive modeling.

Background in e-commerce, trust & safety, or content

moderation analytics.