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

TikTok; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

TikTok is the leading destination for short-form mobile video, with global reach and offices in multiple cities including Singapore. We seek a data science graduate capable of building metrics and risk systems to safeguard content, users, and privacy while driving data-driven safety initiatives.

You will tackle video content safety, live content safety, account security, privacy compliance and moderation platforms.

Qualifications

• Currently pursuing a PhD in Mathematics, Statistics, Economics, Computer Science, Data Science, or a related technical field, or equivalent practical experience.
• Proficient in Python, SQL, or R.
• Experience in forecasting, statistical and causal inference, or classification methods.
• Strong product sense and ability to translate analysis results into business decisions.

Responsibilities

• Design, build, and maintain core metrics systems related to platform content safety and risk.
• Develop monitoring and anomaly detection systems to quickly identify security incidents.
• Apply statistical methods to evaluate policy effectiveness and optimize experiment design.
• Develop quantitative analysis systems and translate insights into actionable improvements.
• Create reusable analysis frameworks and productize data capabilities for teams.

Skills

Python

SQL

R

Forecasting

Causal inference

Classification

Product sense

Education

PhD in Math/Stats/CS/DS

Job description

Responsibilities

About the Team

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. Please state your availability and graduation date clearly in your resume.

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, and 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

Minimum Qualifications:

• Currently pursuing a PhD degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or a related technical field, or equivalent practical experience.
• Proficient in data querying languages and at least one scripting language, such as Python, SQL, or R.
• Experience in one or more of the following methods: forecasting, statistical and causal inference, or classification methods.
• Strong product sense and structured thinking, with the ability to effectively convert analysis results into business decisions.

Preferred Qualifications

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

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, 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 - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.