TikTok is a global short-form video platform that aims to inspire creativity and bring joy. The Data Science Intern will work with the International Short Video User Growth team to develop and optimize user behavior prediction models, utilizing various data analysis techniques to drive growth strategies.
Participate in the development and optimization of user long-term value (LTV) models and other user behavior prediction models.
Utilize machine learning, deep learning, and other techniques for data mining to enhance user profiling and behavioral analysis.
Design A/B tests and other causal inference methodologies to evaluate model performance and drive the implementation of models within business applications.
Process and cleanse large-scale datasets, construct high-quality datasets, and improve overall data quality.
Collaborate with Product and Data Engineering teams to facilitate the implementation of data-driven decision-making processes.
Qualification
Required
Currently pursuing a Master‘s degree or higher in Computer Science, Statistics, Mathematics, Data Science, or a related field.
Solid foundation in machine learning, with familiarity with common algorithms (e.g., Regression, Decision Trees, Random Forests, XGBoost). Practical modeling experience is preferred.
Proficient in data analysis using Python, SQL, or R; skilled with libraries/tools such as Pandas, NumPy, Scikit-learn.
Preferred
Demonstrated ability in data cleaning, feature engineering, model training, and optimization.
Strong logical thinking skills, with the ability to identify problems from data and propose effective solutions.
Benefits
Health insurance
Life insurance
Wellbeing benefits
10 paid holidays per year
Paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year)
TikTok is a short-video sharing app and social network platform that develops a lip-syncing video application to create videos. It is a sub-organization of ByteDance.