SEO Data Scientist

eBay•San Jose, CA

9d•$127,600 - $170,300

About The Position

The SEO Data Scientist will support eBay’s SEO Analytics function, partnering with Product and Engineering to use eBay’s data ecosystem to uncover insights, influence the SEO roadmap, and drive customer-centric marketplace innovation. The role contributes to the company’s strategic direction by understanding buyer needs and translating insights into differentiated customer experiences, working closely with Product, Technology, and regional business teams. The position develops analytical direction for SEO and AEO, defines success measures and experimentation plans, investigates performance changes, and applies statistical, predictive, and causal methods to complex product and marketplace problems. The Data Scientist translates findings into recommendations that support buyer and seller outcomes at scale.

Requirements

At least 3 years of experience in analytics, data science, or a related quantitative field.
Strong command of A/B testing design, causal inference, and experimentation measurement.
Hands-on proficiency in SQL and one or more analytical programming languages such as Python or R, including experience deriving actionable insights from large-scale data.
Experience applying statistical methods, experimentation, and machine learning to business problems, including descriptive and inferential analysis and predictive modeling.
Ability to connect insights to product growth opportunities, think critically in ambiguous environments, and influence decisions through data-driven recommendations.
Strong communication skills and a strong quantitative foundation.
Bachelor’s degree or equivalent experience in Computer Science, Mathematics, Economics, Physics, Engineering, or a related field.

Nice To Haves

Experience supporting product decisions in an e-commerce or consumer technology environment.
Familiarity with modern machine learning frameworks and approaches such as ensemble models, deep learning, or transformer-based methods.
Advanced study in a quantitative field.

Responsibilities

Deliver insights and analytical thought leadership to influence SEO product roadmap, design, technical, and organizational decisions.
Define and own success metrics, measurement frameworks, and experimentation roadmaps for key product areas.
Analyze SEO/AEO performance and identify root causes of changes, including product launches, technical issues, algorithm updates, AI search trends, and external market factors.
Apply statistical methods and predictive analytics to complex product and marketplace problems with buyer and revenue impact.
Design and interpret A/B tests and other causal measurement approaches to evaluate product changes and identify ways to improve the buyer experience.
Develop predictive and experimental models to understand customer behavior and guide long-term product strategy.
Partner with Product, Engineering, and Business teams to translate complex findings into clear recommendations that improve buyer and seller outcomes.