Responsibilities
Team Introduction: TikTok is an international short video platform covering 150 countries and regions. We hope to discover real and interesting moments through TikTok and make life better. TikTok has offices around the world, with global headquarters in Los Angeles and Singapore, and offices in New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul and Tokyo. The TikTok User Growth team explores product growth potential and drives user growth with technology. The team not only practices user growth methodology in products and continues to consolidate growth capabilities, but also explores TikTok's multimodal product ecosystem to leverage the rapid growth of user scale. We will be extremely close to the business, and work with product and operation colleagues to explore user growth methodology and continue to consolidate the growth capabilities of the business. Together, we will conduct insight analysis through data performance in the business to find business opportunities, analyze different business needs around different growth business models, and conduct technical design and implementation. We will also optimize and upgrade our architecture and systems from a technical perspective, make purely technical transformations, and use technology to drive business development and change. 1. Participate in the construction of TikTok's user growth business indicator system, build reporting systems and other monitoring and early warning tools to provide data support for business development 2. Deeply understand the business, analyze and mine user behavior data, explore growth opportunities, and propose data-driven optimization suggestions or solutions 3. Have excellent organizational collaboration capabilities, cooperate with product development/data/algorithms, support strategy iteration through rigorous analysis, data mining, causal inference, AB experiments, etc., promote the implementation of optimization plans, quantify and evaluate the effectiveness of strategies, and drive the improvement of business indicators 4. In supporting business development, be good at thinking and summarizing, and precipitate growth analysis methodology and data efficiency tools.
Qualifications
1. Bachelor degree or above in computer science/statistics/mathematics and other related majors, with more than 3 years of experience in machine learning/quantitative analysis/user analysis 2. Proficient in using statistical analysis tools such as SQL/Python, mastering the principles of mathematical statistics and AB experiments, and mastering machine learning and causal inference methods 3. Excellent communication and logical thinking skills, structured thinking, keen data insight, rigorous and meticulous, and curious 4. Possess excellent organizational and collaborative skills, self-driven work, resilience, and those with overseas living/studying experience are preferred.
