Full Stack Data Scientist

Discovered • ,

48d • $30,000 - $50,000 • Remote

About The Position

Discovered Labs is an SEO/AEO agency founded by a Stanford rocket scientist and a demand gen marketer. They specialize in helping hyper-growth B2B SaaS companies increase leads and customers through content marketing, technical optimizations, and off-site brand amplification. Their approach is built on AI automation and workflows, senior expertise, and a full-stack methodology that covers the entire funnel and multiple surfaces to ensure client success. They encourage candidates to include a Loom video showcasing a built tool, system, or deliverable they are proud of.

Requirements

• Owns the full loop end to end: analyze → explain → implement → report; does not hand off execution.
• High agency and a builder's instinct are prioritized above domain knowledge.
• Strong analytical and quantitative background: ability to reconcile messy, incomplete data, design falsifiable experiments, and reason to a root cause with evidence.
• Demonstrated evidence of shipping analysis that changed business actions, with personal implementation of at least part of it.
• AI-native with experience building something with AI (side project, agent, scraper, internal tool).
• Daily use of AI tools as a workflow multiplier (briefs, clustering, audit summarization, scraping) while owning the final, validated output.
• Proficiency in experiment design and statistical rigor.
• Systems thinking: ability to improve tactics and the systems behind them, turning one-off findings into repeatable processes.
• Commercial curiosity: ability to connect findings to client business models and KPIs, framing them as business consequences (revenue, pipeline, cost).
• Strong written and verbal English for clear communication to non-technical stakeholders.

Nice To Haves

• Experience with SEO/analytics tooling (GSC, GA4, Ahrefs, a crawler such as Screaming Frog).
• Client-facing experience and commercial awareness.
• Familiarity with B2B SaaS.

Responsibilities

• Analyze data behind reports, strategy questions, client queries, technical issues, and SWOTs, reconciling messy and incomplete sources into a clear picture.
• Perform QA through analysis to ensure rationale is sound, logic holds, and unsupported claims are identified.
• Design, run, and interpret experiments to distinguish signal from noise.
• Connect every finding to the client's business, explaining its impact on revenue.
• Own the client report, delivering a decision-ready read with data, diagnosis, and the 'so what?'
• Optimize content for answer engines (AEO) to become a cited source for LLMs and Google AI Overviews using internal methodology and tools.
• Implement fixes and improvements directly using internal tooling.
• Improve tactics and systems by turning one-off findings into repeatable processes and refining tooling and methodology.
• Communicate findings cleanly to clients in writing and on calls, ensuring output requires no translation.

Benefits

• $30,000 - $50,000 annual salary depending on relevant skills and experience
• Fully remote position.
• Room to grow with opportunity for a senior track without people management.
• Paid leave and autonomy.
• Access to the best in-house SEO/AEO tools (ML/AI and data science tooling) built by top engineers.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed