Tiktok Monetization Product - Senior Data Scientist
Haidian District, Beijing, China
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Summary
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Rockstar
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Top School
Haojun Li is a senior data scientist with six years of experience building metrics, running A/B tests, and shaping monetization products for TikTok Ads and ByteDance’s international content teams. He has driven advertiser activation funnels, account-asset linkage, and business center platform analytics while rebuilding core metrics to support multi-country, multi-server deployments. Known for rigorous gray-scale monitoring, he’s caught severe release bugs repeatedly and materially improved first-day retention for new users. His background spans product analytics, growth, and revenue reporting across Tencent Cloud and earlier finance-focused internships, combining strong statistical training (UC Berkeley exchange, MS in Business Analytics) with hands-on data platform work. Colleagues describe him as detail-oriented in metric design and pragmatic in translating experiments into product decisions.
7 years of coding experience
2 years of employment as a software developer
exchange student, math & stat, exchange student, math & stat at 美国加州大学伯克利分校
学士, information and computing science, 学士, information and computing science at 华中科技大学
Master's degree, Business analytics, 3.8/4, Master's degree, Business analytics, 3.8/4 at Fordham University
TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.
An open-source big data platform designed and optimized for the Internet of Things (IoT).
Contributions:21 commits in 1 month
big-datainternet-of-thingsiot
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