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 to make life better. TikTok has offices around the world, with global headquarters in Los Angeles and Singapore, as well as offices in New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul and Tokyo. We are the TikTok user growth technology team. We are one of the core engines of the company's global strategy and the first bridge connecting hundreds of millions of users around the world with exciting content. Our mission is very pure: to use technology to drive growth and make TikTok a platform for users in every corner of the world to discover happiness and inspire creativity. Our job is about much more than writing code, we are growth architects who use technology to solve real-world business problems. In terms of business, we face the fierce technological frontier battlefield: We are responsible for attracting, promoting, retaining and monetizing global users, and you will be deeply involved every technical decision and code implementation you make will help the development of our global business this sense of accomplishment of directly creating value and witnessing global impact is unparalleled. Technically, we challenge the hard-core problems in the industry: global high concurrency under extreme performance, extremely complex global architecture and compliance, scientific empowerment of data-driven and AI, and the ultimate polishing of user-side experience. 1. Responsible for the construction of TikTok advertising data and conduct effective data governance work 2. Use data to explain business growth issues and conduct multi-dimensional analysis to discover business growth opportunities 3. Promote meaningful data collection and user privacy protection 4. On the company's global user product business data, carry out data mining related work across products and guide product optimization 5. Help the business use the mining results, be able to propose business usage methods, and perform data analysis on the usage effects.
Qualifications
1. Have a deep understanding of data analysis and data mining, have successful data mining related experience, and have a deep understanding of data applications 2. Be goal-driven, and be able to propose full-cycle control from data collection, tool development to business usage logic for data mining goals 3. Be able to take charge of key links and understand large-scale user data mining, pattern discovery, etc. 4. Those with experience in AI full-link project implementation capabilities Priority is given to those who are proficient in report generation, strategy application, quality optimization and practical experience in building structured knowledge bases.
