Data Scientist (Python Expert)

We’re looking for a Data Scientist to join our tech team and help build the future of neuro-contextual advertising at global scale.
At Seedtag, our mission is to transform advertising by proving that effectiveness and user privacy can truly coexist.
As the leading Neuro-Contextual Advertising Company, we combine Artificial Intelligence, Natural Language Processing, Computer Vision, and neuroscience to understand not only what content is about, but how it makes people feel and what they intend to do next.
Our proprietary AI, Liz, enables brands to connect with audiences across the open web and Connected TV without cookies or user tracking. Founded in 2014 by two ex-Googlers, Seedtag has grown to 700+ Seedtaggers in 17 countries, backed by €250M in funding, and operates today as a global ad-tech leader.
If you enjoy solving complex engineering challenges and building AI-driven systems at scale, you’ll feel right at home here.
As Data Scientist, you will:
As a member of our data science team, you will build production-grade AI agent systems that interact with data, execute multi-step workflows, and make autonomous decisions impacting business outcomes.
You will design and implement agent architectures using modern frameworks, working on multi-agent orchestration patterns, agent delegation, and ensuring reliable execution under production constraints.
You will 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.
You will 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.
You will 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.
We test early, iterate often, and learn fast.
We Are Data-Driven
Data informs our decisions and helps us continuously improve our systems and results.
Tech Stack
We operate at large scale, supporting up to 120k requests per second, with ML models responding in under 10 milliseconds and processing 20 TB of data daily.
Languages: Python, Go, TypeScript, Scala
Cloud & Infrastructure: Kubernetes, GCP, AWS
Data: Datalakes, GCS, Redis, Druid, MongoDB
Architecture: 100+ microservices, DevOps-driven, continuous deployment
You bring 3-5 years of experience building and deploying production ML systems, with hands-on experience developing LLM-based applications or autonomous agents using frameworks like Pydantic AI, OpenAI Agents SDK, LangGraph, or similar, and the ability to adapt as the ecosystem evolves.
You possess 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 like Docker and Kubernetes.
You have a 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.
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.
Team activities, offsites, and opportunities to connect beyond work.
Home office setup budget up to €1,000
If you need accommodations during the hiring process, let us know and we’ll ensure a positive experience.