Shop - Data Scientist - Measurement（Governance & Experience）

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 Tik Tok 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.

Requirements:

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.