Data Scientist

Job Description

We're looking for a Data Scientist to join our team and help shape the future of neuro-contextual advertising as we continue to expand globally.

Who We Are

At Seedtag, our goal is to lead the change in the advertising industry because we believe that effective advertising should not be at odds with users' privacy.

By combining Natural Language Processing and Computer Vision our proprietary, Machine Learning-based technology provides a human-like understanding of the content of the web that finds the best context for each ad while providing unparalleled risk-mitigation capabilities that protect advertisers from showing their ads on pages that could be damaging for their brand. All of this, without relying on cookies or any other tracking mechanisms.

Every day, our teams develop new services that reach over 200 million users worldwide with fast response times to ensure that we deliver the best user experience. We're fully committed to the DevOps culture, where we provide the platform that our Software Developers and Data Scientists use to manage over 100 different microservices, pushing dozens of changes to production every day. All of this is built on top of Kubernetes in Google Cloud Platform and Amazon Web Services.

If you are interested in joining one of the fastest-growing scale-ups in Europe and working on massive scalability challenges, this is the place for you.

Your Challenge

• 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.

Our Core Values

• Outcome over output

• Failure is allowed, learning is a must

• We are all scouts

• We are data-driven

Tech Stack

We have to support 120k requests per second running with ML models in production answering within 10 milliseconds! We run production with Python and GoLang microservices using datalakes, GCS, Redis, Kinesis or Kafka. All this is constantly deployed in GCP using Kubernetes and other kinds of production stacks. The current stack outputs 20 TB of daily data having them ready to use for analytics and more with easy and low latency access.

In the rest of the company, we also develop in Typescript for Nodejs and Scala making use of technologies like Kafka, Druid and MongoDB all over the Google Cloud Platform.

What You'll Need to Succeed

• 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.
• You have hands‑on experience with end‑to‑end project workflows from design to deployment, understand multi‑step agent workflows and tool calling patterns, and can handle the non‑deterministic nature of LLM-based systems.
• You are 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.

Why Join Seedtag?

Growth & Opportunity: A key moment to join with vast career development prospects.

Flexibility: At Seedtag, we trust you to balance work and life effortlessly with the option to a 100% remote or hybrid work setup, depending on what works best.

Learning & Development: Online courses in ODILO, and optional English or Spanish group classes.

Inclusive Culture: We foster a supportive environment that values personal growth.

Fun & Connection: Participate in team activities, company offsites, and more!

Additional Perks

• Flexible benefits plan: Restaurant, transportation, and kindergarten vouchers.
• Health insurance: Comprehensive coverage included.
• Gympass: Access to wellness programs and fitness classes.
• Seedsave Program: Exclusive discounts to help you save for the future.
• Build your home office with a gross budget of up to 1K€ (external screen, chair, table...).
• Paid travels to our HQ in Madrid to work p2p with your squad members.
• MacBook Pro M3.

Ready to join the Seedtag adventure?

Send us your CV and let's grow together!

At Seedtag, we're committed to creating an inclusive environment where everyone can thrive. We welcome diverse perspectives as they fuel our innovation and growth. Please let us know if you require accommodations during the hiring process and we'll ensure a positive and accessible experience.

#J-18808-Ljbffr