Responsibilities
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 located in Los Angeles and Singapore, and office locations also include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why join us Work with the team to inspire creativity: Creation is at the heart of TikTok. Regardless of the TikTok product or the team itself, we hope to inspire more imagination and bring more value and impact to ourselves, the platform, the communities we serve, and society. Grow through challenging things: At TikTok, you can participate in very challenging projects and work together to create industry-breaking and globally influential things. There are hundreds of millions of users here, waiting for you to use new technologies and new ideas to bring them new experiences. We never settle for the status quo. For us, every challenge, no matter how difficult, is an opportunity to learn, innovate, and grow. Working style and culture: We encourage pragmatic solutions to practical problems and the pursuit of excellence in everything. We hope that everyone will always do things as they did on the first day of starting a business. The company culture is diverse and compatible. Colleagues get along with each other as equals as classmates. The mechanism is agile and flexible, and we hope to better stimulate everyone's creativity. Outstanding people can be recognized and rewarded: Outstanding talents can grow with the company, and it is never too late to join. We have also further increased the differentiation of incentives, so that outstanding people can be recognized and rewarded, take on more important projects, fully realize their potential and stand out. Welcome to join us! 1. Responsible for data analysis related to TikTok live broadcast, including viewing experience optimization, anchor ecology, guild management, recommendation effects, etc. 2. Responsible for the design of indicator systems for business directions, and responsible for building corresponding monitoring systems and change analysis 3. Use statistical scientific methods to conduct effective and scientific effect evaluation, including A/B experiments, causal inference, etc. 4. In-depth understanding of business goals, use data mining to form analytical insights, and find potential optimizations. Orientation, provide data support for business decisions cooperate with product/recommendation engineers/R&D to promote optimization implementation 5. Explore inductive analysis methodologies, study data science theories, promote iterative optimization of data products, and improve analysis efficiency.
Qualifications
1. Bachelor degree or above in statistics, data science, economics and other related majors 2. More than 2 years of data analysis work experience those with experience in live broadcast-related industries are preferred 3. Proficient in common tools such as SQL, Python/R, visualization, etc. candidates who understand the principles of machine learning and recommendation algorithms are preferred 4. Excellent thinking logic, good at analyzing and solving problems, good communication and collaboration skills, and enthusiastic about challenges.
