TikTok Data Science Intern 2026 in the USA: Earn $35 Per Hour
Overview
TikTok is offering a Data Science Project Intern position within its Advertisement Team located in San Jose, California, USA. This opportunity is designed for undergraduate students aiming to gain practical experience in business strategy, experimentation, statistical modelling, and data analysis. The intern will support the Monetization Products data science team by analyzing large datasets, evaluating experiments, identifying business opportunities, and generating insights to support advertising performance and sustainable revenue growth. Applications are reviewed on a rolling basis.
Who can apply
Applicants must currently be pursuing an undergraduate degree in a quantitative field or a related discipline, which includes economics, statistics, applied mathematics, engineering, computer science, business analytics, or other related quantitative areas. Candidates must demonstrate experience with data querying and manipulation using SQL, Python, or R, alongside experience conducting data analysis in a scripting language such as Python, R, or MATLAB. Previous professional data science employment is not mandatory, but applicants should be prepared to demonstrate analytical abilities through relevant coursework, projects, research, or experience.
What you get
The position offers an advertised hourly wage of $35. Benefits may include health insurance starting from the first day, life insurance, wellbeing benefits, ten paid holidays per year, paid sick time depending on the hire date, and a housing allowance for eligible interns who are not working fully remotely.
How to apply
Interested candidates can apply through the recruitment link provided in the job listing. Before submitting an application, candidates should prepare an updated CV highlighting relevant coursework, analytical projects, programming skills, and research experience, emphasizing practical knowledge of SQL, Python, R, statistical analysis, data processing, and experimental design. Because applications are reviewed on a rolling basis with no fixed closing date provided, candidates should verify whether the vacancy remains open.