ion-making at global scale.
We are looking for talented individuals to join us for an internship in 2026*. PhD Internships at TikTok 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 TikTok provide 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).
Summer Start Dates:
- May 11th, 2026
- May 18th, 2026
- May 26th, 2026
- June 8th, 2026
- June 22nd, 2026
Online Assessment
Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment
Responsibilities:
- Analyze product usage and engagement data (e.g., retention, conversion, feature adoption) to identify trends and actionable insights;
- Support design and evaluation of A/B tests or feature experiments; compute lift, assess statistical significance, and help interpret outcomes;
- Conduct exploratory data analysis using SQL and Python to detect patterns, anomalies, or feature-driven behaviors;
- Create dashboards, visualizations, and summary reports to communicate findings to product, engineering, and design teams;
- Collaborate cross-functionally with product managers and engineers to implement metrics and iterate on insights; document analysis and methodologies.
Qualifications
Minimum Qualifications:
- Currently pursuing a PhD in Computer Science, Statistics, Econometrics, Mathematics or other quantitative disciplines;
- Proficient in data analysis tools and languages such as SQL, Python, or R;
- Practical experience with data querying and scripting languages (e.g. SQL, Python, R) and basic statistical/data analysis tools;
- Familiar with statistical modeling, A/B testing, or experiment design concepts, drawn from coursework, projects, or internships.
Preferred Qualifications:
- Familiarity with machine learning frameworks or predictive modeling;
- Prior internship or project experience in product analytics, A/B testing, or data science roles;
- Strong communication, collaboration, and storytelling skills - able to translate technical findings into product recommendations.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
If you have any questions, please reach out to us at [email protected]