Data Scientist | NLP in Madrid or Remote


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Job Description

We are looking for a talented Data Scientist to join our Data team and help us change the world of digital advertising together.


Seedtag is the leading Contextual Advertising Platform. Our proprietary, machine learning-based technology provides human-like understanding of the content in the web, the highest level of brand safety in the industry and unmatched cookieless targeting capabilities.

We engage with the market on both demand and supply side to create, activate and launch high-quality advertising campaigns at scale. We are committed to creating a more beautiful, respectful and engaging way to do advertising.


2014 · Founded by two ex-Googlers

2018 · 16M total turnover & Internationalization & Getting growth

2021 · Fundraising round of 40M€ & +10 countries & +230 Seedtaggers


  • You will work on improving our natural language processing systems, expanding it’s comprehension capabilities
  • You will help us develop our brand safety technology, which analyzes articles to ensure that ads are always displayed in a positive context
  • You will work on the optimization of our real-time price engine to maximize the profit for our publishers
  • You will follow the latest deep learning research in the scientific community


  • You have at least 4 years of solid experience in data science and machine learning
  • You have solid experience in Natural Language Processing
  • You have a degree in computer science, engineering, statistics, mathematics, physics or another degree with a strong quantitative component
  • You understand the theoretical functioning of the main algorithms in ML and you have experience applying these to real problems
  • You have ample experience with one or more of these machine learning tools: Scikit-learn, Tensorflow, Keras, etc.
  • You are a proactive person who likes the startup work culture


We are an AdTech family where innovative ideas and new ways to do things are welcome, we reject "that’s the way it’s always been done". In Seedtag you can find an energetic, fresh workplace, multicultural work environment where our members are from different countries from Europe, LATAM and so many more!, where you will have the chance to impact directly on the company results. Everyone is willing to help because we are all committed to a common objective, making Seedtag the best company in the world!

Seedtag DNA is unique from the very beginning, we celebrate and embrace diversity, also we want all our members (They, he or she) to feel like home, all of the human differences are welcome.


“From my first day working at SeedTag, I have been excited to be part of a highly skilled and multi-disciplinary team of Data Science, Machine Learning and Engineering specialists who are involved in multiple challenging projects requiring innovative solutions. For me, it is very rewarding to realize how our developed cutting-edge technologies based on Computer Vision, Natural Language Processing and Deep Learning have a huge impact on numerous use-cases across the company, and how they contribute to our ambitious goal of maintaining SeedTag as one of the world references on contextual-based online advertising.” (Adria Ruiz Senior Data Scientist specialized in Computer Vision & Deep Learning at Seedtag, PhD Computer Vision)


  • Real flexible work methodology. The option to work from home when you need to, also real flexible working hours.
  • A great workplace location with food, snacks, great coffee and much more.
  • Optional company-paid English and/or Spanish courses.
  • Access to learning opportunities (learning & development budget)
  • We love what we do, but we also love having fun. We have many team activities you can join and enjoy with your colleagues!
  • Access to a flexible benefits plan (plan de retribución flexible) with restaurant, transportation and kindergarten tickets and discounts on medical insurance

Want to be a Seedtagger? Then send us your CV, we are waiting for it!


About Seedtag

  • Marketing

  • Madrid, Spain

  • 50-200

  • 2014


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