Data Science Intern – Platform Safety

Job Description

Data Scientist Intern (Integrity and Safety) | TikTok

The Tone:
This is an internship at TikTok, a company known for its leading short-form mobile video platform, dedicated to inspiring creativity and bringing joy to its users globally. This role is crucial as it leverages data science to directly safeguard content, users, and privacy on the platform. The intern will provide critical data-driven insights for various platform responsibility and safety initiatives, enhancing the safety experience for millions of users worldwide. The program aims to offer students industry exposure, hands-on experience, and opportunities for personal and professional growth.

The TL;DR
• Role: Internship
• Type: Temporary (12 weeks)
• Pay: $35 hourly
• Mission: Provide critical data-driven insights for platform responsibility and safety initiatives, enhancing the safety experience for millions of users worldwide.
• Tech Stack: SQL, Python/R

What You’ll Actually Do
• System Design & Monitoring: Assist in designing and maintaining core indicator systems for content security and risks, participating in building monitoring and anomaly attribution systems to identify and analyze security incidents.
• Statistical Analysis: Learn and apply statistical methods, including A/B testing and causal inference, to evaluate the effectiveness of security strategies and provide data support for business decisions.
• Quantitative Analysis & Collaboration: Conduct quantitative analysis for business challenges using data mining techniques, collaborating with various teams to translate insights into actionable improvement plans.
• Data Quality & Preprocessing: Participate in data cleaning and preprocessing efforts to ensure high data quality, providing a reliable foundation for risk analysis.
• Reporting & Visualization: Assist in generating data visualization reports and monitoring dashboards to help teams intuitively understand risk situations and the effectiveness of implemented strategies.

The Must-Haves
• Background: Student currently pursuing a Bachelor’s or Master’s degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or a relevant technical field.
• Experience: Familiarity with common statistical analysis methods, proficiency in SQL, Python/R, and other programming languages, with a preference for prior data processing and analysis experience. Ability to commit to 12 weeks of work in 2026.
• Skills: Proficient in SQL, Python/R, and other programming languages; excellent logical thinking; strong problem analysis and solving skills; good communication and collaboration abilities; enthusiasm for data-driven decisions and security risk analysis.
• Bonus: Understanding of machine learning, causal inference, and A/B testing methods; prior internship experience in internet companies; ability to quickly learn new skills and solve complex problems; detail-oriented with high awareness of data security and privacy protection.