Responsibilities
Team introduction: Data-Douyin-Data Science is a quantitative analysis team based on statistics and machine learning. The team is committed to optimizing the world's leading recommendation system through AB experiments, causal inference, machine learning and other technical means, supporting and empowering recommendation models & strategy iteration, and discovering new growth points for the business. The team is responsible for the data science work of Douyin apps, focusing on solving data science problems in short video recommendation, content consumption, community interaction, social networking, and commercial growth scenarios. 1. Opportunity discovery: In-depth understanding of the business, through qualitative and quantitative analysis of key business issues, put forward optimization suggestions and solutions, and find growth points for the business 2. Indicator construction: Starting from the value path, sort out and build the core business indicator system to help the business clarify the core revenue path and guide strategy iteration 3. Drive improvement: Based on experimental analysis, causal inference and other means, put forward improvement suggestions for strategy optimization, improve strategic returns, and optimize execution efficiency 4. Optimize decision-making: Participate in key decisions that determine the future development direction of the platform, and provide guarantees for the innovation and sustainable development of the platform through efficient and scientific decision-making by the data-driven team.
Qualifications
1. Bachelor degree or above in quantitative analysis related majors such as mathematics/statistics/operations research/data science/computer/economics/business analysis, master's degree or doctoral degree is preferred 2. Solid foundation in mathematical statistics, proficiency in statistics, causal inference, machine learning, big data and other fields of theory, and understanding of the basic principles of recommendation algorithms 3. Proficient in SQL and familiar with one or more tools in Python/R 4. Rigorous logical thinking ability, good at analyzing and solving problems, good communication and collaboration skills, and enthusiastic about challenges.
