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.
We are looking for a passionate Data Scientist with demonstrable knowledge of product analytics, data modelling and reporting. As a Data Scientist, you will have the opportunity to influence key strategic decisions by sharing insights to leadership and business owners. You will collaborate with product managers, algorithm team, user growth, content programming and operation teams to drive insights and deliver product recommendations. Come join our team and help grow our TikTok community!
Develop a deep understanding of the TikTok ecosystem and business; identify key needs and pain-points and produce actionable solutions through structuring and executing product and ecosystem analyses
Help grow engagement and usage of TikTok through developing actionable strategic insights through product funnels, cohort analyses, user segmentation, retention analyses and regression models
Develop time series, forecasting, anomaly detection, and user behaviour models to solve complex product problems
Define KPIs and build automated dashboards, reports, and models to enable cross-functional teams to make faster, better decisions and drive constant improvement to TikTok's analytics capabilities
Create and manage workflows in SQL and Python/R to drive one-time or repeatable product analyses and product/ecosystem health reporting
BA/BS in Computer Science, Math, Economics, Statistics, or other quantitative fields
4+ years work experience doing quantitative analysis in the tech industry
A strong track record of identifying key business questions, performing analyses, and communicating impactful findings in a clear and concise way.
Experience in applying common statistical methods to business and product problems (design and analysis of experiments, regression modelling and forecasting)
Experience navigating and working with very large data sets and developing large and complex data pipelines using SQL/HQL
Experience with R or Python
Experience with a data visualisation tool (e.g. Tableau, Looker)
Self-motivated, detail-oriented, learn autonomously, and highly organised
Ability to approach problems creatively and build structure out of ambiguous requests
Advanced degree in Computer Science, Data Science, Statistics, Applied Math, Economics or related quantitative fields preferred
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