Senior Data Scientist – US Seller Growth

Job Description

Senior Data Scientist, Global E-commerce Seller Business | TikTok

The Tone:
This is a full-time role at TikTok, focusing on driving the US Seller Business within Global E-commerce. TikTok’s Global E-commerce aims to be a discovery-driven destination for users to find good, affordable products, building tailored shopping experiences and a reliable platform for merchants across live and short-video commerce. This role is crucial for developing scalable data capabilities and trusted metric frameworks that empower business decisions, directly connecting technical execution with strategic growth for US sellers.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: US-focused

• Team: Data Strategy team within the Global E-commerce engineering organization
• Mission: Lead data strategy and advanced analytics to accelerate US seller acquisition, activation, and retention, ensuring scalable data capabilities and trusted metric frameworks for business decisions.
• Tech Stack: SQL, Python/R, statistical analysis, machine learning techniques

What You’ll Actually Do
• Drive US Seller Growth: Lead data strategy for the US Seller Business, identifying critical problems and growth opportunities to accelerate seller acquisition, activation, and retention on TikTok Shop.
• Advanced Analytics & Modeling: Design and implement robust data models, statistical frameworks, and experimentation to understand seller behaviors, optimize e-commerce funnels, and solve complex business challenges.
• End-to-End Project Ownership: Act as the owner of medium-to-large complexity projects, translating business pain points into clear data solutions and actionable plans that deliver high-quality, impactful results.
• Cross-Functional Collaboration: Partner effectively with Product Managers, Operations, and Engineering to build consensus on key data, technical, and business decisions, ensuring seamless project execution.
• Data Infrastructure & Tooling: Construct and continuously optimize data infrastructure, core metrics, and analytical toolkits, identifying opportunities to improve team efficiency through capability reuse.

The Must-Haves
• Background: Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field. Requires a deep understanding of the e-commerce ecosystem, particularly focusing on US seller growth, merchant operations, or marketplace dynamics.
• Experience: 5+ years of industry experience in data science, analytics, or a related field, with a proven track record of driving business impact through data. Demonstrated ability to independently lead complex projects and break down ambiguous problems into actionable steps.
• Skills: Exceptional analytical and modeling skills, with proficiency in SQL, Python/R, statistical analysis, and machine learning techniques. Excellent cross-functional collaboration and communication skills, with the ability to navigate complex stakeholder relationships and present insights to diverse audiences.
• Bonus: Hands-on experience using and building AI-driven tools (e.g., LLMs, Agents, AI workflows) to improve analytical efficiency and solve business problems, including the ability to evaluate and refine AI outputs effectively. Familiarity with or experience working on e-commerce open platforms, developer ecosystems, or API integrations for merchants. Proven experience mentoring team members and elevating the technical and analytical standards of a data organization.