Descripción del trabajo Company overview
blue is the market leader in enabling digital success for small and medium-sized businesses (SMBs) across Europe, catering to over 3 million customers in 25+ languages. Our mission is to make online business success simpler, by providing our customers with all the tools and resources they need to excel online and remain ahead of the curve.
We are looking for a senior data scientist to streamline marketing operations at team.You would report into the Applied AI team and work on marketing automation projects.
Marketing here runs across many brands, markets and languages, on a stack that differs brand by brand. The work spans competitive and pricing monitoring, performance reporting and diagnosis, SEO and AI-answer visibility, content refresh, localisation and lifecycle production, paid search and social account hygiene, and tracking and consent QA. Each of these is a multi-step process across several systems, repeated per brand.
The method you will follow matters more than the domain: map processes,



quantify the time and resources they consume, determine the ROI impact of agentic automation, build a proof of concept, take it to production and measure the impact of your work. Most of these agents produce a judgment, backed by numbers: this page lost traffic because of a SERP change, this brand under-converts relative to a comparable one, this competitor's pricing move matters. A confidently wrong judgment gets read and acted on across several markets before anyone checks it. Lots of this is irreversible, so a recommendation nobody can reconstruct the reasoning for is worse than no recommendation, because it costs trust. Can you tell whether the data underneath is worth reasoning over.
These agents read from analytics, search console, ad platforms, CRM and third-party SEO and social tools. Tracking is inconsistent across brands, UTM conventions are followed unevenly, and tags break silently. Part of the work is refusing to build

📌 Senior Ai Data Scientist, Agentic Automation (Barcelona)
🏢 team.blue Global
📍 Barcelona