TikTok Shop - Data Scientist - Measurement（Governance & Experience）

关于这个机会

About the team: Governance & Experience (GNE) is a global team dedicated to building a safe and trustworthy e-commerce ecosystem for users, sellers, and creators. We focus on protecting user experience through policies, rules, products, and systems that ensure quality and trust at scale. Our GNE Data Science & Analytics team drives a worry-free shopping journey on TikTok by: - Defining and tracking core GNE metrics - Providing insights to guide policy, product, and operations - Building dashboards and reports to monitor marketplace health - Analyzing data to surface risks and opportunities for improvement Responsibilities: - Understand ambiguous business, product and user problems of Governance & Experience business, and apply advanced scientific techniques to find solutions; - Identify key trends, patterns, and opportunities to drive e-commerce data products adoption, engagement and incremental impacts; - Conduct A/B testing and complex experimentation (bilateral, networks effect, etc.); - Partner closely with key stakeholders to optimize overall measurement strategy and design.

任职要求

Miniumum Qualifications: - Bachelor degree in Economics, Mathematics, Statistics, Computer Science, or Analytics; - At least 3 years of Data Science experience in Causal Inference, Experimentation, Product Analytics, Machine Learning, and Statistics expertise; - SQL & Python or R proficiency. Preferred Qualifications: - Advanced Degree (MS, PhD.) in Economics, Mathematics, Statistics, Analytics, etc; - Causal Inference, Experimentation, Product Analytics, Machine Learning, and Statistics experience; - Business oriented. Have a strong business sense to proactively help Product and Operations identify key business challenges using data-driven insights; - Strong curiosity and self-driving force; - Excellent communication skills, an open mind, and positive critical thinking; - Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice; - Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems.

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