Senior Data Scientist, Global E-commerce Seller Business - Global E-Commerce Data Strategy

What you'll do

• Lead seller-growth data strategy and end-to-end analytical projects, translating business challenges into solutions that affect business metrics.
• Build models, statistical frameworks, and A/B tests to analyze seller behavior and optimize e-commerce funnels; improve data infrastructure, core metrics, and analytical tools.
• Partner with Product, Operations, and Engineering, and mentor junior data scientists.

What they ask for

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• 5+ years of industry experience in data science, analytics, or a related field, with demonstrated business impact.
• Deep understanding of e-commerce, particularly US seller growth, merchant operations, or marketplace dynamics.
• Proficiency in SQL, Python/R, statistical analysis, and machine learning; ability to lead complex projects independently and collaborate across functions.

Nice to have

• Experience building or using AI-driven tools such as LLMs, Agents, or AI workflows.
• Experience with e-commerce open platforms, developer ecosystems, or merchant API integrations; mentoring experience.

Tools

SQL, Python/R, LLMs, Agents, AI workflows

AI focus

Preferred experience building or using AI-driven tools, including LLMs, Agents, and AI workflows, to improve analytical efficiency and solve business problems; evaluating and refining AI outputs.