TikTok Safety Product Team focuses on the construction and optimization of content safety systems, aiming to enhance platform security through cutting-edge technologies. Relying on large language models, we continuously improve the quality and efficiency of content moderation and strengthen user trust. By closely coordinating business and technology teams, we provide highly scalable solutions to support the rapid growth of global business.
Requirements
- Has experience in quantifying complex problems, can use statistical methods to find answers under the influence of multiple factors, such as experimental design, causal inference, etc.; is proficient in using Data Analysis tools such as SQL, Python, R, Excel, and Tableau
- 2 years or more of experience in data science-related industries, is familiar with the design of success metrics and A/B testing, and has a deep understanding of the risks associated with Globalization products
- Ability to translate technical analysis results into clear strategic recommendations and has successful experience in driving cross-functional collaboration in a fast-paced environment.
Responsibilities
- Design and implement a comprehensive indicator system and quantitative evaluation framework to assess the effectiveness of risk control strategies, and continuously optimize the evaluation methods to accurately track risk control capabilities
- Lead strategic planning by analyzing industry trends, competition landscape, and internal data, and translate insights into actionable business plans to enhance platform security and policy execution efficiency
- Collaborate with stakeholders to achieve business objectives through data-driven approaches, such as monitoring the impact of strategies on risk control capabilities, using statistical methods to establish an efficient decision-making system, and standardizing reusable analysis methods and tools to improve team efficiency
- Collaborate with cross-functional teams, align priorities, communicate data-driven recommendations, and drive execution to promote the adoption and practice of a data-driven culture at the organizational level.
Other
- Bachelor's degree or above, preferably in mathematics, computer science, statistics, engineering, or related fields, with a strong foundation in statistics, Hypothesis Testing theory, and experimental design
- Has a sensitivity to the company's products and the technological development trends of related industries, and possesses strong macro-analysis and decision-making capabilities
- Your ability to work in a high tempo environment, adapt, respond to day-to-day challenges of the role
- Your resilience and commitment to self-care to manage the emotional demands of the role.
