Full Stack Data Scientist
About Discovered Labs
Discovered Labs is an SEO/AEO agency built by a Stanford rocket scientist turned AI researcher and a demand gen marketer with experience scaling B2B SaaS companies to 8-figures in ARR.
We’re trusted by hyper-growth companies like Instantly, Granola, incident and other $10M+ ARR B2B SaaS companies who want more leads and customers from both Google and AI assistants like ChatGPT.
We do this through a mixture of content marketing, technical optimisations and off-site brand amplification (PR, backlinks, Reddit marketing). View recent case studies at .
High-level, our approach rests on three things:
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AI automation and workflows. We build marketing programs the way you’d build a product. Rather than burn hours a week on repetitive tasks, our in-house team of ML engineers builds workflows with custom tooling so we can focus on the high-impact work.
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Senior expertise. Everything is managed and elevated by a team of experts, so it’s done to a high standard and differentiated. We don’t let automation get in the way of quality.
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Full-stack. SEO and AEO rarely work as isolated tasks. We work across the entire funnel and multiple surfaces so we own the outcome and clients win.
If you want to stand out, include a Loom showing a tool, system or deliverable you’ve built and are proud of. We’d love to see it.
This role
You analyse the data, work out why performance is moving and turn the result into a report the client can act on. You implement the fixes and improvements yourself with our internal tooling.
“DS who owns data → analysis → decision → implementation end to end”
Concretely, that means you:
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Analyse the data behind reports, strategy questions, client queries, technical issues and SWOTs — reconciling messy, incomplete sources into a clear picture of what's actually happening.
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QA via analysis - Is the rationale sound? Does the logic hold? Where's the unsupported claim?
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Run experiments. Design a falsifiable test, run it, and know when a result is noise rather than signal.
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Tie every finding to the client's business. You get to "so what, and why does this matter to their revenue," not just "here's what the data says."
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Own the report. Hand the client and the account strategist a decision-ready read the data, the diagnosis and the “so what?” never a raw data dump.
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Optimise for answer engines (AEO). Make client content the source LLMs and Google AI Overviews cite, using our internal methodology and tools, as one surface among many.
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Execute, not just recommend. You implement the findings yourself with our internal tooling. The analysis only counts once it's shipped.
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Improve the tactics and the systems. Turn a one-off finding into a repeatable process, and keep sharpening the tooling and methodology behind how the system works.
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Communicate it cleanly to clients , in writing and on calls, so your output needs no translation.
This role is fully remote. Ideally your working hours overlap the GMT business day (we’re flexible within roughly ±4 hours).
This is not for you if:
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You need heavy management, or you wait for perfect instructions before acting. If you spot a broken process, we expect you to fix it.
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Produce genius insights but don’t ship them. Insight with no execution is exactly the failure mode we screen for. The analyst who gets on the tools is the one we want.
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Lack experience and/or willingness to use advanced AI workflows.
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Prefer to spend weeks performing audits before implementation. B2B SaaS clients expect results fast and everything needs to tie to commercial impact.
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Not comfortable with data and analytics. We want someone who can diagnose the why behind performance and back it with evidence.
What’s in it for you
Benefits
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$30,000 -$50,000 annual salary depending on relevant skills and experience
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Fully remote position. (Ideally flexible within roughly ±4 hours GMT )
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Room to grow. We’re small but gro