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About the Role

As a Junior Data Scientist on the Insights team, you will transform contextual, audience, and campaign data into actionable insights for clients and commercial teams, leveraging Seedtag's AI, Liz.

Responsibilities

Build and maintain pipelines to analyze campaign performance, audience behavior, and contextual data across the open web and CTV.
Develop models for audience profiling, content analysis, campaign comparisons, and pre-campaign planning.
Turn analyses into scalable data products using tools such as dbt, Trino, and Airflow, ensuring data quality and reliability.
Prototype LLM-based agents and workflows using techniques such as embeddings, classification, clustering, and summarization.
Design and evaluate experiments to ensure automated insights are accurate, reliable, and actionable.
Investigate data anomalies, identify root causes, and improve pipeline reliability.
Communicate findings through clear visualizations and actionable recommendations for Product, Sales, and clients.

Requirements

0–2 years of experience in Data Science, Analytics, or Machine Learning, including internships, research, or personal projects.
Degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field, or equivalent practical experience.
Strong Python and SQL skills, with a solid understanding of statistics, machine learning, and model evaluation.
Hands-on experience building LLM-based agents or agentic workflows, including tool calling, structured outputs, or multi-step processes.
Good software engineering practices, including Git, testing, and clean, reproducible code.
Strong analytical thinking and data storytelling skills, with the ability to communicate insights to non-technical stakeholders.
Curious, proactive, and eager to learn, with professional working proficiency in English.

Skills

Python
SQL
pandas
NumPy
scikit-learn
dbt
Trino
Airflow
LLMs
AI agents
embeddings
classification
clustering
NLP
LangGraph
PydanticAI
MCP
OpenAI Agent SDK
Claude Agent SDK
GCP
BigQuery
Git
unit testing
code review
statistics
machine learning
model evaluation
data storytelling

Location

Remote
Hybrid

Work Type

Remote
Hybrid

Experience Level

Junior

Education Level

Degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field, or equivalent practical experience.

Benefits

Flexible work model with 100% remote or hybrid options.
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.
Home office setup budget up to €1,000
Paid trips to our HQ in Madrid
MacBook Pro M3

About the Company

Seedtag's mission is to transform advertising by proving that effectiveness and user privacy can truly coexist.
As the leading Neuro-Contextual Advertising Company, Seedtag combines Artificial Intelligence, Natural Language Processing, Computer Vision, and neuroscience to understand content and audience intent.
The 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 as a global ad-tech leader.
Seedtag offers a place for those who enjoy solving complex engineering challenges and building AI-driven systems at scale.

Equal Opportunity

At Seedtag, we create an environment where everyone can thrive. If you need accommodations during the hiring process, let us know and we’ll ensure a positive experience.