Team Introduction:
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. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
PhD internships at Our Company provides students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
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).
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.Minimum Qualifications
- Currently pursuing a PhD in Mathematics, Statistics, Economics, Computer Science, Data Science, 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.
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.