Content Safety Data Scientist Intern

TikTok; San Jose (CA); On-site; USD 39,778 - 56,653; Part time

Benefits offered by this job

Health insurance

Paid holidays

Housing allowance

Job summary

TikTok is seeking a Project Intern to apply data science to safeguard content, users, and privacy across the platform. You will drive critical insights for safety initiatives, contributing to content and live content safety, account security, and privacy compliance.

The internship offers hands-on experience with data cleaning, analysis, and visualization, alongside workshops and events to build practical skills for a fast-paced tech environment.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in a technical field or equivalent practical experience.
• Familiar with statistical analysis methods and programming languages (SQL, Python/R).
• Strong problem solving, communication and collaboration skills; passionate about data-driven decisions.

Responsibilities

• Assist in designing and maintaining core indicator systems for platform content security and risks.
• Learn to apply statistical methods (A/B testing, regression, causal inference) to evaluate security strategies.
• Conduct quantitative analyses for business challenges and translate insights into actionable plans.
• Participate in data cleaning, preprocessing, and dashboard development to monitor risk.
• Collaborate with product, operations, and algorithm teams to implement improvements.
• Develop analytical frameworks and tools to enhance team capabilities.

Skills

Statistical analysis

SQL

Python/R

Analytical thinking

Communication

Education

Bachelor's or Master's in Mathematics/Statistics/Economics/CS/Data Science

Tools

SQL

Python

R

Job description

TikTok is seeking a Project Intern to apply data science to safeguard content, users, and privacy across the platform. You will drive critical insights for safety initiatives, contributing to content and live content safety, account security, and privacy compliance.

The internship offers hands-on experience with data cleaning, analysis, and visualization, alongside workshops and events to build practical skills for a fast-paced tech environment.