Business Analytics Lead, US Safety at TikTok

| Greater LA Area
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Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul, and Tokyo. As an analytics lead on TikTok's US Safety team, you will be instrumental in ensuring that TikTok remains a safe, trustworthy, and risk-free environment. By implementing your domain knowledge, you will help diagnose, triage, and treat large-scale safety issues. You will lead a team of Junior/Senior Analysts to scope out projects, use ground-truth data to inform strategies, and, most importantly, use data and insights to form best-in-class heuristics to proactively detect and disarm safety incidents. As a member of this team, you will be working on US TikTok's top priority (user safety) with a variety of stakeholders across product, operations, policy, and engineering -- both locally and globally. This position will be full-time and will be based in our Los Angeles, CA location. Responsibilities - Manage and mentor a team of analysts to support key workstreams and a wide range of strategic initiatives - Use data to identify and forecast trends, conduct deep-dive quantitative analysis to identify root causes of safety incidents, understand user behavior, and determine objectives with achievable key results for the team - Inform best practices for how quantitative analyses should be run, including aspects such as processing, cleaning, and ensuring ground-truth integrity - Collaborate with data teams across the globe to form best practices regarding data modeling and visualization; support these teams in the development of automated detection systems utilized to detect and, if possible, prevent safety incidents - Explore various data sources across TikTok to help identify new signals, trends, and tactics that are associated with abusive or unwanted behavior

Qualifications

- Master's degree in Computer Science, Math, Engineering, Statistics or other technical fields - 4+ years of experience in quantitative analysis or data science - Expert SQL and Excel skills, and a deep understanding of statistics and predictive analysis - Familiarity with at least one scripting language, python is preferred. - Experience with a data visualization tool (e.g. Mode Analytics/Tableau/Looker) Preferred qualifications: - Experience with machine learning and handling large scale structured/unstructured data - Previous people management experience preferred - Experience working with international partners at different time zones - Desire to travel between various sites (Palo Alto, China, Southeast Asia) to manage projects and collaborate with stakeholders - Curiosity and strong motivation to dissect a highly complex challenge, capability to thrive in a dynamic environment

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