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# Data Scientist Graduate (TikTok-Search) - 2027 Start

- **Company:** Tiktok Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Starter
- **Salary:** $95,000.0 - $168,000.0
- **Contract:** Internship / Graduate position
- **Skills:** A/B Testing, Query Languages, Scripting
- **Published:** August 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=14d89a20ea0b6497

## About the Role

* Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Data Science or a related discipline.
 * Proficient in data querying languages and at least one scripting language (e.g. Hive, Python, SQL, R)
 * Experience in one or more of the following methods: forecasting, statistical and causal inference, classification methods, ab testing.
 * Strong product sense and structured thinking, and be able to convert the analysis results into business decisions very well, * Internship experience in data science
 * Experience working with cross functional teams
 * Internship experience at an Internet company, Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment

## Description

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., * 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


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