Data Science Intern (TikTok-Product-Data Science-Vertical) - 2025 Summer (MBA)

Team Introduction:
TikTok-Data Science-Music team is responsible for building the music ecosystem and the artist service in Tik Tok, cooperating with all key value chains in TikTok. 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, causal inference like experimentation methodology and causal discovery, feature/strategy evaluation, exploratory analysis and building some data products.

We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.

Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in May/June 2025. Successful candidates must be able to commit to one of the following summer internship start dates below:
Monday, May 12
Monday, May 19
Tuesday May 27 (Memorial Day May 26)
Monday, June 9
Monday, June 23

We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

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 strategyMinimum Qualifications:
- Proficient in data acquisition, rigorous data analysis habits, mastery of basic statistical principles, and good at quantitative analysis.
- Strong learning ability and curiosity, full of interest in the Internet industry, hoping to develop in the Internet industry for a long time.
- Ability to quickly understand the business and explore the connection between business details and data.
- Experience in data analysis and proficiency with analytical tools.
- Strong analytical and problem-solving skills with the ability to interpret complex data and provide actionable insights.
- Ability to work effectively with cross-functional teams including product, operations, and R&D.
- Strong written and verbal communication skills for presenting data and insights clearly.
- Ability to manage multiple tasks and projects simultaneously.
- High level of accuracy and attention to detail in data analysis and reporting.

Preferred Qualifications:
- Proficiency with advanced data analysis tools and programming languages (e.g., Python, R, Tableau).
- Experience designing and analyzing A/B experiments, evaluating product optimization effects, and analyzing market activities.
- Understanding of the music industry and experience with internationalization of music business.
- Ability to analyze factors affecting product improvement and growth, and develop feasible optimization plans.
- Experience in designing index systems and constructing data systems to improve data decision-making efficiency.
- Proven ability to collaborate with various stakeholders to promote and implement optimization plans that drive business growth.