Senior Data Scientist, fabric

• A demonstrated point of view on AI search (AEO/GEO). Whether you've worked hands-on with answer engine / generative engine optimization or studied AI search and digital markets rigorously, you can show what you've learned about how AI search actually behaves — from evidence, not just opinion
• A rigorous quantitative foundation. Strong data science, statistical, and causal-inference / econometric skills, with fluency in Python, SQL, or similar. You can frame a question, design the analysis, build the model, and defend the methodology
• Original research experience. You've run benchmarks, market studies, or performance studies — designing the question and the method, not just running standard reports
• An SEO / search discovery background. You understand discovery from the inside and have grown into rigorous, data-driven measurement of it
• Experimentation chops. You've designed and run A/B tests or similar to validate an idea and separate signal from noise
• Storytelling with data. You can turn raw numbers into a clear narrative and a defensible point of view, and explain complex findings to non-technical audiences
• Comfort with ambiguity. You can help build a measurement function from scratch, not just execute one someone else designed
• Deep curiosity about commerce. Genuine interest in e-commerce, marketing, and analytics — you want to understand why shoppers and algorithms behave the way they do

Desirable

• Shopping is moving from search boxes to answer engines. Shoppers now ask ChatGPT, Perplexity, Gemini, and AI Overviews what to buy — and brands win or lose on whether AI represents their products accurately. This is a wide-open field with no established playbook, and fabric is defining it
• You'll own the research that helps define our AI Shopping roadmap. That means helping shape how we measure a brand's AI Shopping capability and how we optimize for the best outcomes. Your work becomes the research behind fabric's roadmap and the credibility behind our thought leadership
• This is a hybrid role by design — part researcher, part PM, part evangelist, part customer-facing. You'll design the studies, build the models, publish the findings, and sit with customers to show them what the data means for their business