Data Scientist Intern (TikTok Integrity and Safety) - 2026 Summer (BS/MS)

Job Description:

Join our team and leverage the power of data science to directly safeguard content, users, and privacy on TikTok. You will provide critical data-driven insights for platform responsibility and safety initiatives, including video content safety, live content safety, account security, privacy compliance, and moderation platforms, ultimately enhancing the safety experience for millions of users worldwide. We are looking for talented individuals to join us for an internship in 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company. Internships at Our Company aims to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: May 11th, 2026 May 18th, 2026 May 26th, 2026 June 8th, 2026 June 22nd, 2026 We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date). Responsibilities - Assist in designing and maintaining core indicator systems for platform content security and risks, including content violations, user feedback, account risks, etc.; Participate in building monitoring and anomaly attribution systems, learning to quickly identify and analyze security incidents; - Learn to apply statistical scientific methods, including A/B testing, causal inference, regression analysis, etc., to assist in evaluating the effectiveness of various security strategies; Participate in experimental result analysis to provide data support for business decisions; - Under guidance, conduct quantitative analysis for specific business challenges, using data mining techniques to identify potential optimization opportunities; Collaborate with product, operations, algorithm and other teams to transform analytical insights into actionable improvement plans; - Participate in data cleaning and preprocessing work to ensure data quality and provide reliable data foundation for risk analysis; - Assist in generating data visualization reports and monitoring dashboards to help teams intuitively understand risk situations and strategy effectiveness; - Learn and apply data analysis methodologies, participate in the accumulation of analytical frameworks and tools, enhancing both personal and team analytical capabilities

Candidate Requirements:

Minimum Qualifications - Currently pursuing a Bachelor's, or Master's degree in Mathematics, Statistics, Economics, Computer Science, Data Science etc relevant technical field, or equivalent practical experience - Familiar with common statistical analysis methods, proficient in SQL, Python/R, and other programming languages, with preference for those with data processing and analysis experience. - Excellent logical thinking, strong problem analysis and solving skills, good communication and collaboration abilities, passionate about challenges. - Enthusiastic about security risk analysis work and believing in the value of data-driven decisions. - Able to commit to working for 12 weeks in 2026 Preferred Qualifications - Good communication skills, team spirit, and proactive attitude. - Understanding of machine learning, causal inference, A/B testing methods and principles, with preference for those with internship experience in internet companies. - Ability to quickly learn new knowledge and skills, passionate about solving complex problems. - Detail-oriented, responsible, with high awareness of data security and privacy protection