AI Search Data Scientist

CiteWorks Studio; Northern (KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

CiteWorks Studio is hiring an AI Search Data Scientist to convert messy AI visibility signals into reliable, repeatable metrics. You will define how we measure AI Share of Voice, AI Recommendation Share, citation frequency, brand inclusion rate, prompt-level win/loss, and competitor displacement.

CiteWorks Studio is a full-service search visibility agency scaling toward a SaaS model, delivering analytics, dashboards, and actionable insights for enterprise brands and agency partners.

Responsibilities

• Build measurement frameworks for AI visibility metrics across LLMs and AI search surfaces
• Design statistical methods that survive noisy generative outputs
• Track recommendation movement and competitor displacement over time
• Partner with product to make metrics legible for enterprise executives

Job description

Data Science Remote · United States preferred

CiteWorks Studio is hiring an AI Search Data Scientist to convert messy AI visibility signals into reliable, repeatable metrics.

You will define how we measure AI Share of Voice, AI Recommendation Share, citation frequency, brand inclusion rate, prompt-level win/loss, and competitor displacement.

CiteWorks Studio is a full-service search visibility agency for enterprise brands and agency partners. We help brands improve where they rank, where they are cited, and where they are recommended by combining SEO auditing, AI search analysis, technical optimization, citation architecture, market intelligence, and in-house execution.

Our work is built around a simple market reality: buyers no longer discover brands through one channel. They move between Google, AI-generated answers, review pages, comparison articles, community discussions, videos, social platforms, and brand content before deciding who to trust.

CiteWorks Studio is moving toward a stronger SaaS and solutions model - turning agency intelligence, methodology, audits, dashboards, and corrective-action systems into scalable products.

/ What you'll do

About the role

Detailed responsibilities will be shared during the interview process. At a high level, you will:

• Build measurement frameworks for AI visibility metrics across LLMs and AI search surfaces
• Design statistical methods that survive noisy generative outputs
• Track recommendation movement and competitor displacement over time
• Partner with product to make metrics legible for enterprise executives