Senior Data Scientist, AI Search / AEO Research

• Conduct original research to define AI Shopping measurement and optimization methodologies.
• Design studies and build models to analyze AI search behavior and brand visibility.
• Publish research findings and contribute to thought leadership.
• Engage directly with customers to interpret data and demonstrate business implications.
• Collaborate across functions to integrate research into product roadmaps.

• Proven understanding of AI search technologies and optimization (AEO/GEO).
• Strong quantitative skills including data science, statistics, and causal inference; proficiency in Python, SQL, or similar tools.
• Experience designing and conducting original market or performance research.
• Background in SEO or search discovery with focus on data-driven measurement.
• Ability to design and interpret A/B tests or similar experiments.
• Skill in communicating complex data insights clearly to non-technical audiences.
• Ability to work independently in ambiguous, evolving research areas.
• Interest in e-commerce, marketing, and analytics.

1. Pay Range and Compensation Package: * The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

This organization operates in the emerging field of AI-driven shopping, focusing on how answer engines like ChatGPT and Gemini influence consumer purchasing decisions. They address the challenge of accurately representing brands in AI search environments, a developing area without an established framework, by defining measurement standards and optimization strategies for AI shopping capabilities.