Responsibilities
Team introduction: TikTok R&D team aims to realize the research and development of TikTok business and build and maintain industry-leading products. By joining us, you can be exposed to core business scenarios including user growth, social networking, live broadcasting, e-commerce C-side, content creation, content consumption and other core business scenarios, supporting the rapid development of products on the global track you can also be exposed to technical challenges including service architecture, basic technology and other directions to ensure that the business continues to serve users with high quality, efficiency and safety at the same time, we can also provide comprehensive technical solutions for different business scenarios, optimizing various product indicators and user experience. Here, there are experts leading the team to continuously explore the frontier and break through the imagination space with everyone. 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 job opportunities are open in Beijing, Shanghai, Hangzhou, Guangzhou, and Shenzhen. 1. Responsible for the data analysis of TikTok-related businesses, including the construction of indicator systems, designing scientific and reasonable indicator systems for different projects, promoting the full link of data reporting, data warehouse construction, and billboard construction, and completing the implementation of the indicator system based on the indicator system, conduct indicator correlation analysis, project target dismantling, indicator monitoring and early warning, and indicator attribution analysis, etc. 2. Business analysis and mining, based on data science capabilities, provide corresponding data analysis services and data mining services for different stages of the project such as feasibility analysis and value demonstration, ROI analysis, current situation analysis, strategy mining and opportunity mining, etc. 3. Effect evaluation, evaluate business actions through AB experiments, causal inference and other evaluation methods, and conduct in-depth attribution analysis to support scientific decision-making and mining optimization directions 4. Methodology precipitation and tool construction, precipitation and innovation of experimental, analysis, and modeling methodologies, and construction of corresponding platform tools.
Qualifications
1. Priority is given to computer, statistics, and mathematics related majors, proficient in SQL and at least one scripting language, and proficient in using common data analysis tools 2. Ability to independently be responsible for business data analysis, with practical experience in business data drive, and able to promote the implementation of optimization plans 3. Sensitive to data, able to refine business problems into data problems, and provide data science solutions 4. Excellent logical thinking and communication skills 5. Bonus points: Can work in English.
