Data Scientist - TikTok Ads, Ads Measurement

Given the fast growth of TikTok in the world, we are aiming to build an industry leading ads measurement product. The Lift Measurement team's goal is to help marketers realize their true business value generated by TikTok across all of their paid channels. In order to achieve this goal, the Lift Measurement team is building a suite of incrementally measurement products. We are seeking an experienced data scientist to focus on building digital ad measurement products by applying experimental design and causal inference approaches to help advertisers measure their true business value on the TikTok platform. Responsibilities - Design and analyze lift experiments to drive product improvements with cross-functional teams - Conduct research and analysis to improve the lift experimentation platform using experimental design and causal inference methods - Identify opportunities to build new or enhance ad measurement products - Develop and validate new approaches to address measurement challenges based on statistically rigorous solutions - Build cross-functional relationships with engineers, product managers, product marketing and other key stakeholders to identify opportunities to improve products, drive product launches and influence product roadmaps Minimum Qualifications: - 3+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, BioStatistics, Political Science, Economics, Quantitative Social Sciences, Computer Science, Mathematics, Physics) or equivalent practical experience - Extensive knowledge and experience in statistical methodologies, especially hypothesis testing, experimental design and causal inference - Proven experience in querying and analyzing large datasets using SQL/Hive, and proficient in scripting languages like Python/R - Strong analytical and strategic thinking with demonstrated product sense and leadership in working environment Preferred Qualifications: - Able to work independently in an innovative and fast-paced environment - Knowledge or experience in digital advertising measurement (Brand or DR) is a plus - Knowledge or experience with privacy technologies is a plus (e.g., secure multi-party computation techniques, differential privacy, federated learning)