Data Science Project Intern: Turn Data into Insights

TikTok; San Jose (CA); On-site; USD 40,000 - 57,000; Full time

Benefits offered by this job

Health insurance

10 paid holidays

Housing allowance

Job summary

TikTok in San Jose is seeking a Data Science Project Intern for the Advertisement Team starting 2026. You will work with large datasets to derive insights and support business decisions.

The role requires pursuing undergrad in a quantitative field and familiarity with SQL, Python, or R. Internship offers health insurance access from day one, paid holidays, and housing allowance eligibility for non-remote postings.

Qualifications

• Currently pursuing an Undergraduate degree in a quantitative field (Economics, Statistics, Applied Math, Engineering, Computer Science, Business Analytic etc) or a related discipline.
• Experience with data querying and manipulation using SQL, Python, or R
• Experience with data analysis in a scripting language (R, Python, Matlab)

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical methods
• Design, analyze, and interpret insights end-to-end on a project from data requirement gathering to data processing, modeling, and impactful business recommendations
• Partner with cross-functional teams to identify new opportunities requiring the use of sophisticated analytical and modeling techniques
• Design, execute, and interpret results of experiments (e.g., A/B testing)
• Effectively communicate insights and recommendations to team leadership and influence strategic decision-making

Skills

SQL

Python

R

Education

Undergraduate degree in quantitative field

Job description

TikTok in San Jose is seeking a Data Science Project Intern for the Advertisement Team starting 2026. You will work with large datasets to derive insights and support business decisions.

The role requires pursuing undergrad in a quantitative field and familiarity with SQL, Python, or R. Internship offers health insurance access from day one, paid holidays, and housing allowance eligibility for non-remote postings.