TikTok is seeking applications for its Data Science Project Intern – Advertisement Team position in San Jose, California, United States. This internship offers undergraduate students an opportunity to gain hands-on experience in data science, statistical analysis, experimentation, and digital advertising analytics while working with one of the world’s leading technology platforms.
The TikTok Data Science Internship 2026 offers an advertised pay rate of $35 per hour. The role is intended for students pursuing degrees in quantitative disciplines, including computer science, statistics, economics, engineering, applied mathematics, and business analytics.
Selected candidates will work with TikTok’s Monetization Products data science team, analysing complex datasets, evaluating experiments, identifying business opportunities, and developing insights that support product performance and advertising revenue.
Applications are reviewed on a rolling basis, meaning interested candidates should submit their applications as early as possible while the vacancy remains available.
TikTok Data Science Internship 2026: Overview
- Company: TikTok (ByteDance)
- Position: Data Science Project Intern – Advertisement Team
- Job ID: A28009
- Location: San Jose, California, United States
- Job Category: Data Science and Analytics Internship
- Employment Type: Internship
- Salary: $35 per hour
- Eligible Applicants: Undergraduate students in quantitative or related disciplines
- Required Technical Skills: SQL, Python, R, and data analysis
- Additional Skills: Statistical modelling, experimentation, and analytical problem-solving
- Benefits: Insurance, paid holidays, paid sick leave, and a possible housing allowance, subject to eligibility
- Application Deadline: No fixed deadline stated; applications reviewed on a rolling basis
- Visa Sponsorship: Not confirmed in the supplied vacancy information
- Official Application
About TikTok
TikTok is a global digital platform that enables users to create, discover, and share short-form videos. Its business includes advertising and monetisation products that help brands connect with audiences through digital content.
The company’s data science teams use statistical techniques, experimentation, and large-scale data analysis to understand user behaviour, measure product performance, and improve business outcomes.
As a Data Science Project Intern on the Advertisement Team, candidates will have the opportunity to apply their academic knowledge to practical business challenges. The position is particularly relevant to students interested in data science careers, advertising technology, business intelligence, product analytics, and machine learning-related research.
Key Responsibilities
The successful candidate will support data science projects that help TikTok evaluate advertising products, understand business performance, and identify opportunities for growth.
1. Data Analysis and Processing
The intern will work with large and complex datasets to investigate business questions, organise information, and extract useful insights. Responsibilities may involve gathering data requirements, cleaning datasets, and applying analytical methods to support decision-making.
2. Statistical Modelling
The role involves using statistical and quantitative techniques to identify patterns, evaluate performance, and investigate opportunities to improve business results.
3. Experimentation and A/B Testing
The intern may assist with designing, conducting, and interpreting experiments. A/B testing helps teams compare different product or business approaches and determine which changes produce better outcomes.
4. Developing Business Recommendations
Candidates will translate analytical findings into practical recommendations that help stakeholders understand results and make informed strategic decisions.
5. Cross-Functional Collaboration
The intern will work with colleagues across different teams to identify business challenges that can be addressed through data science and quantitative analysis.
6. Presenting Analytical Findings
The position requires communicating insights and recommendations clearly to team leaders and other stakeholders. Strong written communication and presentation skills will therefore be valuable.
These responsibilities provide exposure to how a major technology company uses data to evaluate products, improve advertising performance, and guide business strategy.
Eligibility Requirements
Applicants should currently be pursuing an undergraduate degree in a quantitative discipline or a closely related field.
Relevant academic backgrounds include:
- Computer Science
- Statistics
- Economics
- Applied Mathematics
- Engineering
- Business Analytics
- Other related quantitative disciplines
Candidates should have experience querying and manipulating data using SQL, Python, or R. Experience performing data analysis with a scripting language such as Python, R, or MATLAB is also relevant to the position.
Applicants should be able to demonstrate analytical thinking, an understanding of quantitative methods, and the ability to investigate problems using data.
The vacancy information provided does not establish that previous full-time data science employment is mandatory. Students may be able to demonstrate relevant abilities through university coursework, research, personal projects, or previous internships.
Preferred Qualifications
Although the core requirements focus on quantitative education and technical skills, the following qualifications can strengthen an application:
- Previous internship experience in data science or analytics.
- Research experience involving quantitative analysis.
- Practical experience working with datasets and interpreting analytical results.
- Familiarity with statistical methods and experimental design.
- Strong problem-solving and critical-thinking abilities.
- Experience collaborating with people from different professional backgrounds.
- Effective communication and teamwork skills.
- Ability to learn quickly, manage responsibilities, and work in a fast-paced environment.
Applicants should highlight relevant academic projects, programming assignments, research work, and any practical examples of using data to solve problems.
Salary and Benefits
The advertised compensation for the TikTok Data Science Project Internship is $35 per hour.
Based on a hypothetical schedule of 40 paid hours per week, the estimated earnings would be:
- Weekly: $1,400
- Monthly: Approximately $6,067
- Annualised equivalent: Approximately $72,800
These calculations are illustrative estimates before taxes and other deductions. They do not represent a guarantee of monthly or annual earnings because the actual internship duration, weekly working hours, and paid schedule have not been confirmed in the supplied listing.
The advertised position information also describes benefits that may be available, depending on eligibility and employment terms:
- Health insurance.
- Life insurance.
- Wellbeing benefits.
- Ten paid holidays per year.
- Paid sick leave, subject to applicable terms.
- A possible housing allowance for eligible interns who are not working entirely remotely.
Candidates should confirm the precise compensation package, working schedule, insurance eligibility, and housing arrangements with TikTok during recruitment.
Location and International Applicants
The position is listed in San Jose, California, USA, a major technology hub in Silicon Valley.
The supplied information does not confirm whether the internship can be completed remotely, whether relocation assistance is provided, or whether international applicants will receive employment visa sponsorship.
Candidates applying from outside the United States should verify the position’s work-authorisation requirements before proceeding. Being eligible for the academic internship does not automatically establish eligibility to work in the United States.
International students and applicants who require visa sponsorship should contact the employer or review the official vacancy details to determine whether their circumstances can be accommodated.
Important: Do not assume that the position offers visa sponsorship, relocation funding, or remote work unless TikTok explicitly confirms these arrangements.
CV Tips for Applicants
A well-targeted CV can help applicants demonstrate their suitability for a competitive data science internship.
Consider the following recommendations:
- Place your quantitative degree and relevant academic achievements near the beginning of your CV.
- Include projects that demonstrate SQL queries, Python programming, statistical analysis, or work with large datasets.
- Explain the problem you investigated, the methods you used, and the results you obtained.
- Highlight experience designing experiments or interpreting A/B testing results, if applicable.
- Include research, university projects, hackathons, or previous internships relevant to analytics.
- Demonstrate your ability to communicate technical findings to non-technical audiences.
- Use clear, measurable examples where possible, without exaggerating your contribution.
For example, rather than simply stating that you know Python, describe a project in which you used Python to clean a dataset, analyse trends, or build a statistical model.
Applicants should ensure that all information in their CV is accurate and supported by their actual experience.
Application Deadline
The supplied announcement does not provide a fixed closing date for the TikTok Data Science Project Internship 2026. Applications are reviewed on a rolling basis, so the vacancy may close once recruitment needs have been met.
Candidates should check the official careers portal for the latest availability and submit their applications promptly if they meet the requirements.
How to Apply for the TikTok Data Science Internship 2026
Interested candidates should review TikTok’s official recruitment platform and locate the Data Science Project Intern – Advertisement Team vacancy using job ID A28009.
Step 1: Visit the official careers website
Search for the job title or enter job ID A28009 to locate the relevant opening.
Step 2: Review the vacancy requirements
Read the complete job description to confirm the academic requirements, location, technical skills, working arrangements, and eligibility conditions.
Step 3: Prepare your CV or résumé
Create an updated résumé highlighting your degree programme, relevant coursework, programming experience, research activities, and analytical projects.
Step 4: Highlight relevant technical skills
Where applicable, include practical experience with SQL, Python, R, statistical analysis, data visualisation, data manipulation, and A/B testing.
Candidates should explain how they used these skills rather than simply listing programming languages on their CV.
Step 5: Submit your application
Follow the instructions on TikTok’s official recruitment portal to complete the application and provide any requested documents.
Step 6: Monitor the vacancy status
Recruitment is described as rolling, and no specific closing date has been provided. Check the official listing to confirm that applications are still being accepted.
Disclaimer: OpportunityShape shares job vacancies and career opportunities to help job seekers discover potential employment options. We are not the employer or recruitment agency for this position and do not guarantee employment, selection, visa sponsorship, relocation assistance, or work authorisation. Job details, salary, benefits, eligibility, and availability may change. Applicants should verify all information and submit applications through the employer’s official recruitment website.
