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

About The TikTok Measurement, Signal & Privacy Product Data Science Team 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.

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.

Given the fast growth of TikTok in the world, we are aiming to build industry leading Ads Measurement, Signals and Identity products. The Ads Measurement, Signals and Identity team's goal is to help marketers to understand the activities of TikTok users, measure their true business value generated by TikTok across all of their paid channels and in turn use that data to improve their ads performance, while complying with privacy regulations and users choices. We are seeking an experienced data scientist to identify growth opportunities and enhance the product capabilities by applying experimental design, causal inference and funnel analysis approaches to help advertisers measure their true business value on the TikTok platform.

Responsibilities:

• 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

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, or search/recommendation systems
• Knowledge or experience in dealing with missing data and real-world data with measurement errors