Data Scientist Graduate (TikTok Platform Safety) - 2027 Start (PhD)

About the role

Join our team and leverage the power of data science to directly safeguard content, users, and privacy on TikTok. 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.

Responsibilities

• 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. 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. 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.

Requirements

• Individuals who are completing or have recently completed a PhD 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 the ability to convert analysis results into business decisions effectively.

Preferred Qualifications

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

Pay

The base salary range for this position is $95,000 - $216,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work; this role may be eligible for additional discretionary bonuses/incentives and restricted stock units.

Benefits

• Day one access to medical, dental, and vision insurance.
• 401(k) savings plan with company match.
• Paid parental leave.
• Short-term and long-term disability coverage.
• Life insurance.
• Wellbeing benefits.
• 10 paid holidays per year.
• 10 paid sick days per year.
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

About TikTok

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover, and connect. We create value for our communities, inspire creativity, and bring joy. We lead with curiosity, humility, and a desire to make an impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We embrace challenges and foster an "Always Day 1" mindset to achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless.