TikTok Data Internship 2027: Earn $45 Per Hour
Overview
The TikTok Data Internship 2027 is a summer internship based in San Jose, California, focusing on data science, product analytics, and user experience optimization. The position involves using data-driven solutions to improve how people create and publish content on TikTok. Interns work with multiple teams to analyze user behavior, evaluate product performance, and identify opportunities to enhance the content creation experience through statistical analysis, experimentation, data mining, and modeling.
Who can apply
Candidates must be currently pursuing an undergraduate or master's degree in Computer Science, Computer Engineering, or a related technical discipline. Applicants should have experience in data science, preferably involving mobile application performance analysis or user experience optimization, along with experience working with content creation-related user behavior. Additional background in entertainment, streaming, or social applications may strengthen an application.
What you get
The internship offers a salary of $45 per hour. Available benefits include health insurance starting on the first day of employment, life insurance, and potential housing eligibility for interns not working entirely remotely. Other provisions include up to 10 paid holidays per year, paid sick time of 56 hours for hires in the first half of the year and 40 hours for hires in the second half, and access to applicable employee wellbeing programmes.
Requirements
Applicants must be proficient in SQL and Python and have experience with big-data tools such as Hive or Spark. Preferred qualifications include the ability to work in a fast-paced environment with frequent product updates, as well as knowledge of A/B testing, metric design, and causal inference. Candidates are advised to highlight relevant coursework, practical projects, technical skills, and previous data analysis experience on their résumés, and to state their availability including intended start and end dates.
How to apply
Applications are reviewed on a rolling basis with no fixed deadline specified. Interested candidates should review the eligibility requirements, prepare a résumé featuring their SQL, Python, data science, and analytical experience along with their availability, and submit the application through the official hiring page.