Data Science Intern (TikTok Product) - 2027 Summer

Job Description:

TikTok-Data Science team is responsible for all data science and analytics related work, cooperating with all key value chains in TikTok, including User Growth, PGC, Content Ecosystem, Social, Creation, Product Infrastructure, Research and Science etc. The goal of the team is to generate actionable insights from data and help the stakeholders to make the right decisions. Our main tasks include metrics defining, root cause analysis, experimentation methodology, feature/strategy evaluation and exploratory analysis to find more opportunities. We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Responsibilities: - Define success metrics to measure product growth and identify problems through monitoring or forecasting - Apply technical expertise with quantitative analysis, experimentation, data mining to develop strategies for product optimizations - Quantify the impact of strategies through causal inference and generate actional insights through deep dive analysis - Partner with Product, Engineering and cross-functional teams to influence and execute product strategy

Candidate Requirements:

Minimum Qualifications - Currently pursuing a Undergraduate/ Master's in Data Science or a related Data Science discipline. - Proficient in data querying languages and at least one scripting language (e.g. Python、R) - Experience in one or more of the following methods: forecasting, statistical and causal inference, classification methods. Preferred Qualifications: - Internship experience in data science - Strong product sense and structured thinking, and be able to convert the analysis results into business decisions very well