Data Scientist Intern (Privacy and Data Protection Office) - 2025 Project Intern (BS/MS)

We are looking for an ambitious Data Scientist Intern to join the TikTok PDPO team in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.

Internships at TikTok aim 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.

Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 12-week long internship period.

About the team
PDPO(Privacy and Data Protection Office) is the organization to lead, supervise, and empower all TikTok's privacy work in an accountable and industry leading way. This team is the expert in the landscape of privacy risks and passionate about consulting across the company on implementing the proper safeguards and technical mitigations to ensure that our users’ privacy is honored across the TikTok's products and platforms.

We are seeking an experienced Data Scientist Intern to join the Risk and Governance organization within PDPO to utilize big data techniques in building solutions to help envision TikTok's privacy evolution. You will be expected to conduct rigorous data investigations, develop scalable data solutions and build deep domain knowledge in privacy and data protection from your day by day work.
- Work as Centralized Data Experts (CDE) to conduct impact sizing analysis during critical privacy incident investigation and response to data requests from media or regulators.
- Design and build systematic data solutions and standardized data runbooks to improve efficiency and ensure accuracy for incident and inquiry response.
- Sort out data inventories across the whole company in different formats and platforms to develop scalable monitoring systems that detect Privacy Risks and establish automated alerts.
- Develop data pipelines to automate metrics reporting, drive metrics to improve Operational Excellence.
- Conduct data investigation, data mining to find root causes, patterns and trends for privacy risks, and develop improvement or remediation plans for data protection.
- Establish solid design and best engineering practice for data access controls and management
- Collaborate with various XFN teams within the PDPO department and across organizations (e.g. legal, security, engineering and product) to drive various projects on privacy and data protection.