SEO Data Scientist

Responsibilities

• Develop the SEO product roadmap by delivering insights and analytical thought leadership that influence design, technical, and organizational decisions.
• Define and own success metrics, measurement frameworks, and experimentation roadmaps for key product areas, helping the team make faster and more confident decisions.
• Understand and improve SEO/AEO performance in a constantly evolving environment. Identify root causes behind performance changes, including product launches, technical issues, algorithm updates, AI search trends, and external market factors.
• Apply sophisticated statistical methods combined with predictive analytics to address complex, ambiguous product and marketplace problems with significant buyer and revenue impact.
• Design and interpret A/B tests and other causal measurement approaches to evaluate product changes and find opportunities to improve the buyer experience.
• Develop forward-looking analytical approaches, including predictive and experimental models, to better understand customer behavior and guide long-term product strategy.
• Partner cross-functionally with Product, Engineering, and Business teams to translate complex findings into clear recommendations that improve buyer and seller outcomes at scale.

Requirements

• 3+ years of experience in analytics, data science, or a related quantitative field, ideally supporting product decisions in an e-commerce or consumer technology environment.
• Strong command of A/B testing design, causal inference, and experimentation measurement.
• Strong hands-on proficiency in SQL and one or more analytical programming languages such as Python or R, with experience turning large-scale data into actionable insights.
• Experience applying statistical methods, experimentation, and machine learning approaches for solving real business problems, including descriptive and inferential analysis and predictive modeling.
• Familiarity with modern machine learning frameworks and approaches such as ensemble models, deep learning, or transformer-based methods.
• Proven 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 proven quantitative foundation, with a bachelor’s degree or equivalent experience in a field such as Computer Science, Mathematics, Economics, Physics, or Engineering; advanced study is a plus.

Benefits

• a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave)