Senior Data Scientist, AI Search / AEO Research

New

JobgetherAI search, e-commerce

Based in United StatesFull-TimeSenior

Salary136,000 - 182,000 USD per year

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Job Details

Demonstrate expertise or a strong, evidence-based point of view on AI search, Answer Engine Optimization (AEO), or Generative Engine Optimization (GEO).
Have a strong quantitative foundation, including advanced data science, statistical analysis, and causal inference or econometric skills.
Be fluent in Python, SQL, or comparable analytical technologies.
Have proven experience conducting original research, such as benchmarks, market studies, or performance studies, with ownership of the research question and methodology.
Have a strong understanding of SEO, search discovery, and how users and algorithms discover and evaluate information.
Have hands-on experience designing and running A/B tests or other experimentation frameworks.
Be able to translate complex quantitative findings into clear narratives for technical and non-technical audiences.
Communicate and defend analytical conclusions and recommendations confidently.
Be comfortable building measurement frameworks or research functions in ambiguous environments.
Familiarity with AEO/GEO tools and approaches to measuring AI visibility is desirable.
Customer-facing, consulting, or advisory experience is preferred.
Experience in e-commerce, martech, search, or working with retail brands and product data is a plus.
An advanced degree or academic research background in a quantitative discipline is desirable.

Lead original research into AI search and answer-engine behavior, including how systems discover and represent brands and products.
Design studies, benchmarks, market analyses, and performance research for measuring AI Shopping capabilities and outcomes.
Develop quantitative models, measurement frameworks, and analytical methodologies for AI visibility, product representation, and search performance.
Apply statistical analysis, causal inference, econometric techniques, and experimentation to distinguish meaningful signals from noise.
Design and analyze A/B tests and other experiments to validate hypotheses and identify opportunities to improve AI search outcomes.
Translate research findings into recommendations for product strategy, roadmap priorities, and optimization approaches.
Collaborate with product and cross-functional teams to turn research into AI Shopping capabilities and measurement tools.
Present research findings and recommendations to customers and create narratives, benchmarks, whitepapers, and other thought-leadership materials.

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