Data Scientist - TikTok Ads, Ads Measurement, Signal and Identity

• Design and analyze internal or advertiser facing experiments or causal inference analyses to drive product improvements with cross-functional teams
• Develop and validate new approaches to address measurement challenges based on statistically rigorous solutions, and in-depth data understanding.
• Identify opportunities to improve signal volume, diversity, quality and utilization efficiency.
• 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

• 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

• Able to work independently in an innovative and fast-paced environment
• Knowledge or experience in digital advertising, or search/recommendation systems
• Knowledge or experience in dealing with missing data and real-world data with measurement errors

We're the TikTok Monetization Products data science team, who enables and champions data driven decision making. Our Vision is to become the world class data science team, where data is used rigorously to drive all decision making. Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science.