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Job Description
We’re looking for a Performance Data Scientist to join our team and help shape the future of contextual advertising as we continue to expand globally.
Who We AreAt 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
Tech StackWe have to support 120k requests per second running with ML models in production answering within 10 milliseconds! We have this running in 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
Additional Perks
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.
View all jobs
Job Description
We’re looking for a Performance Data Scientist to join our team and help shape the future of contextual advertising as we continue to expand globally.
Who We AreAt 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 take on the task of developing bidding optimizations through NLP applications, such as large language models, scalable embeddings, and network analysis solutions.
- You will be responsible for building and improving bidding functionalities which will have a direct impact on our client’s advertising KPIs.
- You will explore the applicability of LLMs for production, crafting solutions that can handle real-world, large-scale challenges, particularly in areas like contextualization, personalization, and relevance optimization.
- You will work on end-to-end projects, taking solutions from concept to production, and focusing on creating scalable, efficient, and impactful solutions.
- Collaborating closely with our cross-functional teams, your work will be aligned with business goals and drive the practical application of your solutions.
- Outcome over output
- Failure is allowed, learning is a must
- We are all scouts
- We are data-driven
Tech StackWe have to support 120k requests per second running with ML models in production answering within 10 milliseconds! We have this running in 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 in data science and machine learning, with relevant experience in developing ML/NLP applications at scale to address real-world business challenges.
- You possess strong software engineering skills and a track record of deploying machine learning models in production environments, with proficiency in Python and experience in libraries relevant to NLP and embedding frameworks.
- 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.
- You have hands-on experience with end-to-end project workflows, from data exploration to deployment, proven ability to scale embeddings for high-volume data environments, and are skilled at managing both the technical and business aspects of data projects.
- You are proactive, entrepreneurial, and adaptable, with a commitment to leveraging data and machine learning to drive impactful, measurable business outcomes in a fast-paced, dynamic environment.
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
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.
Key Skills
Ranked by relevance
machine learning
microservices
kubernetes
python
kafka
cloud
natural language processing
google cloud platform
computer vision
typescript
devops
golang
scala
redis
gcp
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- Posted
- May 27, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Madrid
- Company
- Seedtag
Industries
Hospitals
Health Care
Non-profit Organizations
Government Administration
Categories
Engineering
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3 roles aligned with this opportunity
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Software Engineer
2026-06-18
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View Job Details
Related
Growth Data Scientist
2026-06-16
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View Job Details
Related
Graduate software engineer
2026-06-19
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