Data Scientist- TikTok Ads, Measurement - Identity & Attribution

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.

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, 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 communities we serve.
Join us.

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.

We understand the importance of accurate measurement and robust attribution in driving successful advertising campaigns. Our Ads Measurement, Identity, and Attribution team is at the forefront of this mission, leveraging cutting-edge data science to solve complex problems and deliver actionable insights.

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