data
Posted Apr 29Applied Research Scientist [Machine Visibility]
at saas.group
Remote
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Responsibilities
- Build the research function at Prerender — on a dataset no one else has.
- Organize, clean, and structure Prerender's existing data for systematic analysis.
- Design and build new data collection streams to answer questions the current data can't.
- Create the foundation that makes a sustained cadence of original research possible.
- Conduct and Publish Original Research
- Design and execute studies using Prerender's data, web-scale datasets, and primary research methods.
- Own the full research lifecycle: question framing, methodology, analysis, and findings.
- Produce work ranging from quick data snapshots to in-depth flagship studies — all published under your name.
- Build a reputation, not just a resume: Develop deep expertise in a growing field and a body of published work that compounds. Details
Requirements
- Prerender is a dynamic rendering SaaS that makes websites visible to machines — search crawlers, AI bots, and autonomous agents.
- The starting point: billions of rendered pages and crawl data spanning dozens of bot types.
- How do GPTBot, ClaudeBot, PerplexityBot, and other AI crawlers actually behave in production — and how do agentic sessions differ from passive crawlers?
- What patterns predict whether a page will be visible to an LLM versus a traditional search crawler?
- You'll build deep domain expertise along the way: profiling crawler behavior at scale by bot type, maintaining a living behavioral taxonomy of known and emerging bots (GPTBot, ClaudeBot, PerplexityBot, and whatever ships next), and tracking the frontier — bot documentation changes, LLMs.txt adoption, schema evolution, and published research.
- AI is both a subject and a tool in this role.
- You'll research how LLMs crawl, how AI search systems behave, and how autonomous agents interact with web content, while using AI tools to accelerate your own analysis, synthesis, and pattern recognition.
- Hands-on large-scale data analysis — you've queried production data independently, not just read dashboards. Proficient in SQL and Python.
- Comfort with AI tools — you're already using them in your research workflows. Nice to Have Direct