Senior Data Scientist, AI Search / AEO Research

📋 Description

• Lead original research into AI search and answer-engine behavior, developing evidence-based
• Design rigorous studies, benchmarks, market analyses, and performance research that help define how
• Develop quantitative models, measurement frameworks, and analytical methodologies for evaluating AI
• Apply statistical analysis, causal inference, econometric techniques, and experimentation to
• Design and analyze A/B tests and other experiments to validate hypotheses and identify
• Translate research findings into actionable recommendations that inform product strategy, roadmap

🎯 Requirements

• Demonstrated expertise or a strong, evidence-based point of view on AI search, Answer Engine
• Strong quantitative foundation with advanced data science, statistical analysis, and causal
• Fluency in Python, SQL, or comparable analytical technologies, with the ability to frame questions
• Proven experience conducting original research, including benchmarks, market studies, performance
• Strong understanding of SEO, search discovery, and how users and algorithms discover and evaluate
• Hands-on experience designing and running A/B tests or other experimentation frameworks.

🎁 Benefits

• $136,000–$182,000 USD per year salary range for the San Francisco market.
• Remote-first and hybrid working environment, depending on role and location.
• Opportunity to work at the intersection of AI, commerce, data science, and digital search.
• High-impact research role with direct influence on AI Shopping product strategy and roadmap
• Opportunity to define new measurement frameworks in an emerging field where established playbooks
• Significant exposure to original research, experimentation, quantitative modeling, and thought