Data Scientist Graduate ( Platform Safety) - 2027 Start

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@2026 Tik Tok

Data analysis

Location:

San Jose

Employment Type:

Regular

Job Code:

A162260B

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Responsibilities

Join our team and leverage the power of data science to directly safeguard content, users, and privacy on Tik Tok. You will provide critical data-driven insights for platform responsibility and safety initiatives, including video content safety, live content safety, account security, privacy compliance, and moderation platforms, ultimately enhancing the safety experience for millions of users worldwide.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

• Design, build, and maintain core metrics systems related to platform content safety and risk, including but not limited to content violation, user report, and account risk identification;
• Develop comprehensive monitoring and anomaly detection systems to quickly identify and analyze security incidents, providing data support for risk alerts and policy adjustments;
• Apply rigorous statistical methods, including A/B testing, causal inference, regression analysis, and more, to evaluate the effectiveness of security policies. You will deeply analyze experiment results, provide quantitative evidence for business decisions, and continuously optimize experiment design to improve evaluation efficiency;
• Develop quantitative analysis systems for specific business challenges and leverage data mining techniques to identify potential optimization opportunities. You will work closely with product, operations, R&D, and algorithm teams to translate analytical insights into actionable improvements and drive their implementation, ultimately improving platform safety;
• Continuously explore and summarize data analysis methodologies, create reusable analysis frameworks and tools to improve the overall analytical capabilities of the team;
• Participate in the design and iteration of data products, productizing data analysis capabilities to provide business teams with more efficient and convenient data services.

Qualifications

• 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. Python, SQL, R);
• Experience in one or more of the following methods: forecasting, statistical and causal inference, classification methods;
• Strong product sense and structured thinking, and be able to convert the analysis results into business decisions very well.

• Internship experience in data science;
• Research experience in data science;
• Experience working with cross functional teams.

Job Information

The base salary range for this position in the selected city is $95000 - $216000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid…