Data Scientist Intern (TikTok-Product-Data Science)-2026 Summer (BS/MS)
San Jose, California, United States
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Team Introduction:
TikTok-Data Science Team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities.
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. It runs for 12 weeks.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Successful candidates must be able to commit to one of the following summer internship start dates below:
- May 11th, 2026
- May 18th, 2026
- May 26th, 2026
- June 8th, 2026
- June 22nd, 2026
We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).
Responsibilities:
- Define success metrics to measure product growth and identify problems through monitoring or forecasting
- Apply technical expertise with quantitative analysis, experimentation, data mining to develop strategies for product optimizations
- Quantify the impact of strategies through causal inference and generate actionable insights through deep dive analysis
- Partner with Product, Engineering and cross-functional teams to influence and execute product strategy
TikTok-Data Science Team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities.
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. It runs for 12 weeks.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Successful candidates must be able to commit to one of the following summer internship start dates below:
- May 11th, 2026
- May 18th, 2026
- May 26th, 2026
- June 8th, 2026
- June 22nd, 2026
We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).
Responsibilities:
- Define success metrics to measure product growth and identify problems through monitoring or forecasting
- Apply technical expertise with quantitative analysis, experimentation, data mining to develop strategies for product optimizations
- Quantify the impact of strategies through causal inference and generate actionable insights through deep dive analysis
- Partner with Product, Engineering and cross-functional teams to influence and execute product strategy
Job stats:
0
0
0
Categories:
Data Science Jobs
Product Jobs
Tags: Causal inference Data Mining Engineering Research
Perks/benefits: Career development Team events
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Sr. Data Engineer jobsPrincipal Data Engineer jobsBusiness Intelligence Developer jobsPower BI Developer jobsData Scientist II jobsStaff Data Scientist jobsPrincipal Software Engineer jobsStaff Machine Learning Engineer jobsDevOps Engineer jobsData Science Intern jobsJunior Data Analyst jobsAI/ML Engineer jobsSoftware Engineer II jobsStaff Software Engineer jobsData Science Manager jobsData Manager jobsLead Data Analyst jobsData Analyst Intern jobsData Specialist jobsSr. Data Scientist jobsBusiness Data Analyst jobsData Governance Analyst jobsBusiness Intelligence Analyst jobsData Engineer III jobsSenior Backend Engineer jobs
Business Intelligence jobsAirflow jobsMLOps jobsOpen Source jobsKafka jobsEconomics jobsKPIs jobsGitHub jobsLinux jobsJavaScript jobsTerraform jobsRAG jobsPostgreSQL jobsBanking jobsPrompt engineering jobsStreaming jobsScikit-learn jobsData Warehousing jobsNoSQL jobsRDBMS jobsClassification jobsComputer Vision jobsPhysics jobsdbt jobsPandas jobs
Google Cloud jobsScala jobsHadoop jobsLangChain jobsGPT jobsData warehouse jobsMicroservices jobsR&D jobsBigQuery jobsCX jobsDistributed Systems jobsELT jobsReact jobsScrum jobsOracle jobsLooker jobsIndustrial jobsPySpark jobsOpenAI jobsJira jobsRobotics jobsRedshift jobsSAS jobsUnstructured data jobsTypeScript jobs