Data Scientist, Video, Trust & Safety

TikTok Pte. Ltd.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading social media platform in Singapore is seeking a Data Scientist for its Trust and Safety team. You will drive data-informed decisions, manage large-scale safety issues, and collaborate with cross-functional teams. Ideal candidates have a Bachelor's degree in a relevant field and at least 3 years of data science experience, with proficiency in SQL and Python. The role emphasizes communication skills and the ability to adapt to a high-tempo environment with resilience.

Qualifications

• 3+ years of experience in data science or quantitative analysis.
• Experience collaborating with cross‑functional and global teams.

Responsibilities

• Drive data‑inspired decisions and form roadmaps.
• Scope out projects using ground‑truth data and inform strategies.
• Drive business development through in‑depth business analysis.
• Develop comprehensive metrics through statistical modeling methods.
• Refine and upgrade the content safety system.

Skills

Data analysis

Statistical analysis

SQL

Python

A/B testing

Causation/correlation

Decision trees

Regression analysis

Education

Bachelor's degree in mathematics, computer science, statistics, or engineering

Job description

Responsibilities

About the Team: As a Data Scientist in TikTok's Trust and Safety team, you will drive data‑inspired decisions and form roadmaps to ensure that TikTok Video remains a safe, trustworthy, and risk‑free environment. By implementing your domain knowledge, you will help diagnose, triage, and treat large‑scale safety issues.

You will scope out projects, use ground‑truth data to inform strategies, and influence product design. You will partner with a variety of stakeholders across the product, operations, policy, algorithm, and engineering teams.

• Drive business development both short‑term and long‑term through in‑depth business analysis, industry studies, and the study of market trends.
• Develop comprehensive metrics and a quantitative measurement structure through statistical modeling methods to develop an understanding of video risk levels and creator experience.
• Utilise a comprehensive understanding of content safety and creator experience, and develop strategies through various data analyses.
• Refine and upgrade the content safety system for globalised products, incorporating statistical modelling methods to construct an efficient decision‑making system that quantifies business trade‑offs.
• Collaborate closely with the global Trust and Safety team, proactively providing insights and recommendations, driving the implementation of data analysis value, and overseeing the macro direction of the business.

Qualifications

Minimum Qualifications

• Bachelor's degree or above, preferably in mathematics, computer science, statistics, engineering, or related fields.
• 3+ years of experience in data science or quantitative analysis.
• Proficient in data analysis and statistical analysis tools such as SQL and Python.
• Experience in quantifying complex problems using A/B testing and other statistical skills, such as causation/correlation, decision trees, regression analysis, etc.

Preferred Qualifications

• Experience collaborating with cross‑functional and global teams.

Strong communication and collaboration skills.

• Your ability to work in a high‑tempo environment, adapt, respond to day‑to‑day challenges of the role.
• Your resilience and commitment to self‑care to manage the emotional demands of the role.