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 our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

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 our Company 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 actionable insights through deep dive analysis

- Partner with Product, Engineering and cross-functional teams to influence and execute product strategy

Minimum Qualifications

- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Data Science or a related discipline.

- Proficient in data querying languages and at least one scripting language (e.g. Python, SQL, R)

- Experience in one or more of the following methods: forecasting, statistical and causal inference, classification methods.

- Strong product sense and structured thinking, and be able to convert the analysis results into business decisions very well

Preferred Qualifications

- Internship experience in data science

- Research experience in data science

- Experience working with cross functional teams