Data Scientist Graduate (TikTok BRIC Singapore)

About the Role

The Business Risk Integrated Control (BRIC) team at TikTok is dedicated to protecting TikTok users (content consumers, creators, advertisers) and securing the platform's health and authenticity of community experience. They collaborate with cross-functional stakeholders to enhance TikTok's infrastructures, services, tools, and algorithms, aiming for higher privacy and security standards. The BRIC team focuses on measuring and minimizing damage from inauthentic behaviors across various integrity and security areas, including fake accounts, fake traffic, spam, scraping, cyberbullying, live room risks, incentive fraud, and monetization abuse.

We are seeking talented individuals to join our team in 2026. As a graduate, you will have opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth, launching your career at TikTok where inspiration is infinite.

Successful candidates must be able to commit to an onboarding date by the end of 2026. Please state your availability and graduation date clearly in your resume.

Responsibilities

• Analyze business and security data, uncover evolving attack motions, identify weaknesses and opportunities in risk defense solutions, and explore new areas based on discoveries.
• Define risk control measurements. Quantify, generalize, and monitor risk-related business and operational metrics. Align risk teams and stakeholders on numeric risk control goals, promoting impact-oriented, data-driven data science practices for risks. Detect abnormal changes in metrics and build processes to analyze their root causes.
• Design and build A/B experiments to satisfy various business needs. Build rules and models to respond to and mitigate business risks for different TikTok products, including (but not limited to) abusive accounts, fake engagements, spammy redirection, scraping, and fraud.
• Own technical measurement and evaluation of the risk level for a specific business area (e.g., short video platform, user growth, live streaming). Define and coordinate the planning, execution, and generalization of risk solutions.
• Drive and take responsibility for exercising data science best practices around risk analytics and modeling across all stakeholders. Leverage data to bridge collaboration between stakeholders.

Minimum Qualifications

• Final year or recent graduate with a background in computer science, statistics, or other relevant, machine-learning-heavy majors.
• Proficiency in data science analytical tools, such as SQL, R, and Python.
• Possess at least one advantage among risk control, statistical problem solving, or measurement-and-experiment-driven product iteration.
• Strong ownership, proactive and skillful communication, ability to handle high complexity, urgency, and cross-functional alignment.

Preferred Qualifications

• Industry experience in relevant data science domains. Example topics include (but not limited to): search and ranking, recommendation, ads/monetization, anti-fraud/abuse, financial risks.
• Good at telling data stories.