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 Live R&D team aims to realize the R&D work of TikTok live business and build and maintain industry-leading products. Join us, you will be exposed to core business scenarios including social interaction, revenue activities, anchor ecology, consumer subscription, game live broadcast, guild & operation platform, etc., to support the rapid development of products in the global track you will also be exposed to technical challenges in service architecture, large model algorithm, basic technology and other directions, to ensure that the business continues to serve users with high quality, high efficiency and security at the same time, it can also provide comprehensive technical solutions for different business scenarios, optimize various product indicators and user experience. Here, there are big cows leading the team to explore the frontier and break through the imagination space. Here, every line of your code will serve hundreds of millions of users. Here, the team is professional and pure, and the cooperative atmosphere is equal and relaxed. Currently, multiple positions are open in Beijing, Shanghai, Hangzhou, Guangzhou and Shenzhen. 1. Responsible for data analysis and data science work in related fields such as strategy, experience and operation of international live broadcast products 2. Deeply understand the business in the above fields, build a systematic and scientific indicator system and evaluation system, and comprehensively describe the business status and optimize benefits from a data perspective 3. Lead and output credible thematic analysis, build profound data insights, and further propose feasible optimization plans.
Qualifications
1. Mathematics, statistics, computer science related majors are preferred, with more than 3 years of data science work experience 2. Have excellent logical thinking ability, business understanding ability and communication and collaboration ability, and be good at using data-driven means to solve specific business problems 3. Proficient in programming languages such as SQL, Python, R, and proficient in commonly used causal analysis, metric evaluation, data mining and other digital science capabilities 4. Strong English skills and experience in Internet analysis are preferred.
