Data Scientist, Privacy - TikTok

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.



Why Join Us

Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.



TikTok-Data Science team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including Privacy, User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities.



The primary role of a Data Scientist for our Data team is to conduct deep analysis into user behavior, product features and content ecosystem to generate business insights that could be applied to actionable improving initiatives. You will work closely with cross-function teams, such as Product Management, Research and Development, Machine Learning Engineering, to improve user experience and fulfill growth of TikTok in all different regions.



Responsibilities - What You'II Do

- Build and improve the data construction of the TikTok core indicator system combined with different business goals, including modules such as user experience, compliance functions, and user security, to ensure the accuracy of the data and its alignment with business scenarios.

- Regularly monitor core indicators, continuously track the flow and usage of data, be able to clearly identify abnormal data, and warn and disassemble the reasons for indicator changes, while finding suggestions for optimization and improvement and intervention measures.

- Explore and summarize the analysis methodology, research analysis theories, promote the iterative optimization of data products, and improve analysis efficiency.

- Be able to enhance communication with the business, regularly produce analysis reports, and proactively help the business discover potential growth points.