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

Description

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.

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.