NCS Australia

Tech / AI / Software

DataScientist(AIVisibility&CommerceAnalytics)-Contract

sydney, new south wales, australia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Data Scientist (AI Visibility & Commerce Analytics) - Contract at NCS Australia. Skills: Data Scientist, AI Visibility, Commerce Analytics, Agentic Commerce, LLMs. establishing the measurement and analytics framework that defines how we track brand visibility, product discoverability, and commercial performance across AI platforms. Define and implement comprehensive frameworks to track agent visibility and commerce performance across various AI ecosystems”

What You'll Achieve.

shape better outcomes; creating a better tomorrow; make tomorrow together

Industry & Context.

Tech / AI / Software

What They're Looking For.

Must Have

Metrics Design: experience in designing sophisticated analytics and metrics frameworks from the ground up, Tooling Expertise: Proficiency with modern measurement tools and data integration platforms, Search & Visibility: Deep experience with SEO/GEO (Generative Engine Optimization) analytics and web visibility tracking, AI/LLM Literacy: A technical understanding of LLM behavior, AI platform analytics, and the nuances of ranking algorithms in generative environments, Analytical Rigor: Ability to translate complex, unstructured data from AI interactions into clear, strategic business recommendations, valid work rights for Australia, willing to undergo a comprehensive background checking process

Nice to Have

contract or permanent person for this position

What You'll Do.

establishing the measurement and analytics framework that defines how we track brand visibility

product discoverability

and commercial performance across AI platforms

Define and implement comprehensive frameworks to track agent visibility and commerce performance across various AI ecosystems

Lead the integration of measurement and analytics tooling to ensure seamless data flow and actionable insights

Establish baseline metrics for current agent performance

identifying key drivers of visibility and conversion

Analyze and report on how products are ranked and discovered by AI agents

providing strategic insights to improve digital presence

Evaluate the impact of technical enhancements—such as llms. txt

and crawler updates—on product discovery

How You'll Work.

Team & Collaboration

partnering with our clients and communities; collaboration

Communication Scope

Ability to translate complex, unstructured data from AI interactions into clear, strategic business recommendations

Full Job Description

At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this belief to life by partnering with our clients and communities to make tomorrow together. We are committed to creating an environment that prioritises innovation, collaboration, and purposeful work. Our diverse team is empowered to make a meaningful impact with curiosity, creativity and resilience to shape better outcomes. Join us and accept the challenge of creating a better tomorrow. Please note we would look at either a contract or permanent person for this position We are seeking a Data Scientist to join a pioneering team focused on the "Agentic Commerce" frontier. As AI agents and Large Language Models (LLMs) increasingly become the primary interface for consumer decision-making, understanding how products are discovered and ranked within these ecosystems is critical. In this role, you will be responsible for establishing the measurement and analytics framework that defines how we track brand visibility, product discoverability, and commercial performance across AI platforms. This is a rare opportunity to work at the intersection of traditional e-commerce and the emerging world of AI-driven consumer behavior. Key Responsibilities * Measurement Strategy: Define and implement comprehensive frameworks to track agent visibility and commerce performance across various AI ecosystems. * Analytics Integration: Lead the integration of measurement and analytics tooling to ensure seamless data flow and actionable insights. * Performance Baselining: Establish baseline metrics for current agent performance, identifying key drivers of visibility and conversion. * Discoverability Insights: Analyze and report on how products are ranked and discovered by AI agents, providing strategic insights to improve digital presence. * Optimization Analysis: Evaluate the impact of technical enhancem

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