Job 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. 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.

Requirements

Must-haves

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
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.
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.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningsqlpython

Platform: tiktok
Effort: medium