Support the development and validation of machine learning models, including recommendation systems, user segmentation, and churn prediction
Assist in building LTV and revenue forecasting models to support growth and monetization strategy
Design and analyze experiments to evaluate model effectiveness and business impact
Conduct exploratory data analysis across both structured (schema-ready) and raw datasets
Build dashboards and clear data narratives to communicate findings effectively
Collaborate with Product, Growth, and Engineering teams to translate insights into actionable strategies and measurable business impact

Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Statistics, Data Science, or a related quantitative field
Solid foundation in statistics and core machine learning concepts
Strong proficiency in Python (e.g., Pandas, NumPy, Scikit-learn or similar libraries)
Proficiency in SQL and experience working with structured datasets
Strong analytical and problem-solving skills with the ability to work through ambiguous problems
Practical experience applying AI tools in data analysis workflows, or a strong demonstrated interest in leveraging AI for analytical problem-solving
Prior professional or internship experience in data science, analytics, or machine learning
Excellent communication skills and ability to clearly explain technical concepts to non-technical audiences
Experience with recommendation systems, NLP, forecasting, or predictive modeling (preferred)
Interest in generative AI, 3D, or creator platforms (preferred)
Fluent in both English and Mandarin, with the ability to communicate at a professional level in both written and verbal forms (preferred).

Data Science Intern

Key skills