Data Scientist

We’re looking for a Data Scientist to join our tech team and help build the future of neuro‑contextual advertising at global scale.

Responsibilities

• Build production‑grade AI agent systems that interact with data, execute multi‑step workflows, and make autonomous decisions impacting business outcomes.
• Design and implement agent architectures using modern frameworks, working on multi‑agent orchestration patterns, agent delegation, and ensuring reliable execution under production constraints.
• Solve context management challenges across conversation history, tool outputs, and file attachments, implementing semantic search and retrieval systems to ensure agents have the right information to answer questions accurately.
• Integrate agents with data infrastructure, connecting them to databases and APIs in real‑time, and implement tool integration systems that enable scalable development across teams using protocols like MCP.
• Build evaluation frameworks to measure agent performance in production, taking solutions from concept to deployment, and collaborating closely with cross‑functional teams to align your work with business goals.

Qualifications

• 3‑5 years of experience building and deploying production ML systems, with hands‑on experience developing LLM‑based applications or autonomous agents using frameworks such as Pydantic AI, OpenAI Agents SDK, LangGraph, or similar.
• Strong software engineering skills with proficiency in Python and a track record of deploying services to production, including experience with async programming, API design, and production infrastructure such as Docker and Kubernetes.
• Strong academic background in fields such as Computer Science, Engineering, Statistics, Mathematics, or similar, with a focus on quantitative analysis and problem‑solving, plus understanding of retrieval systems, embeddings, or context‑management patterns.
• Hands‑on experience with end‑to‑end project workflows from design to deployment, understanding multi‑step agent workflows and tool‑calling patterns, and the ability to handle the non‑deterministic nature of LLM‑based systems.
• Proactive, entrepreneurial, and adaptable, comfortable working in a fast‑moving environment where best practices are still emerging, and committed to building reliable AI agent systems that drive measurable business outcomes.

Benefits & Perks

Benefits

• A key moment of growth with real ownership and global impact.
• Flexible work model with 100% remote or hybrid options. (Remote contracts available in Spain, Italy, UK, Belgium, Netherlands, France, and Germany.)
• Continuous learning through a learning platform and optional language classes.
• A supportive, trust‑based culture that values well‑being.
• Team activities, offsites, and opportunities to connect beyond work.

Perks

• Home office setup budget up to €1,000
• Paid trips to our HQ in Madrid
• MacBook Pro M3

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