Responsibilities:
- Work with large and complex data sets, solving challenging and non-routine analytical problems using advanced methods as necessary. This includes data gathering, requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Build and prototype analytical pipelines iteratively to deliver insights at scale.
- Develop an in-depth understanding of TikTok's data structures and metrics, advocating for changes as needed to support product development.
- Collaborate cross-functionally to make business recommendations (e.g., cost-benefit analysis, forecasting, experiment analysis) and effectively present findings to stakeholders at various levels using visual displays of quantitative information.
- Research and develop methods for analysis, forecasting, and optimization to enhance the quality of TikTok's ad products.
Minimum Requirements:
- Master's degree or PhD in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience.
- Over 5 years of relevant work experience, including expertise in statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods.
- Experience with statistical software (e.g., R, Python, MATLAB) and database languages (e.g., SQL).
- Proven leadership and self-direction, with a willingness to both teach others and learn new techniques.
- Proficiency in selecting the appropriate statistical tools for different data analysis problems.
- Strong written and verbal communication skills.
