About Us
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

About The Tiktok Monetization Product Data Science Team
We're the TikTok Monetization Products data science team, who enables and champions data driven decision making. Our Vision is to become the world class data science team, where data is used rigorously to drive all decision making. Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science.

Search ads team aims to build out ads solutions better monetize Tiktok search product. With tailored formats, objectives and metrics, the products need quantitative expertise and insight to continuously evolve and better advertisers' & users' asks on Tiktok search. Embedded within the product team, data scientists are responsible for setting product goals in the right direction; driving growth on business partners; designing experiments and frameworks to identify opportunities and risks.

Responsibilities
- Inform, influence, support, and execute our product decisions through data
- Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our customers interact with our ads products
- Help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.Analytics: guide teams using data and insights
- Partner with Product, Engineering, User Research, Designer and other teams to solve problems and identify trends and opportunities
- Collaborate with data engineering to build/maintain reports, dashboards, and metrics to monitor the performance of our products and identify insights
- Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and millions of businesses