Job Description Tech-Remote

About this role

We’re looking for a [Job Title] to join our tech team and help build the future of neuro-contextual advertising at global scale. Who We Are 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 500+ 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.

Your Challenge As our Junior Data Scientist, you will join our Insights team to transform contextual, audience, and campaign data into actionable insights for clients and commercial teams, leveraging Liz, Seedtag's AI. Your main responsibilities will include: Data Pipelines & Analytics: Build and maintain pipelines to analyse campaign performance, audience behaviour, and contextual data across the open web and CTV. Analytical Models: Develop models for audience profiling, content analysis, campaign comparisons, and pre-campaign planning.

Data Products: Turn analyses into scalable data products using tools such as dbt, Trino, and Airflow, ensuring data quality and reliability. AI Agents & Automation: Prototype LLM-based agents and workflows using techniques such as embeddings, classification, clustering, and summarisation. Experimentation & Evaluation: Design and evaluate experiments to ensure automated insights are accurate, reliable, and actionable. Data Quality & Troubleshooting: Investigate data anomalies, identify root causes, and improve pipeline reliability.

Data Storytelling: Communicate findings through clear visualisations and actionable recommendations for Product, Sales, and clients. Our Core Values Outcome over Output We measure success by impact and value, not by volume of features or lines of code. Failure Is Allowed, Learning Is a Must Experimentation is key to innovation. We test early, iterate often, and learn fast. We Are All Scouts We take ownership and leave things better than we found them.