Company Description Our Media Measurement team uses state‑of‑the‑art technologies and rigorous methods to track who is watching what, where, and how they engage with content. Our clients can evaluate who is consuming which content across different media, platforms and devices, and know what the audience thinks about that content. As people consume media content on more channels, and through more devices, than ever before, we are proud to provide a full view on media consumption.

As Data Scientist you will have following main accountabilities:

You own together with your team several of our Data Science solutions throughout the full life cycle (brainstorming, design, implementation, productization and maintenance)

You develop solutions based on data science, stats and machine learning models

You improve methods and tools. Contribute to our communities of practice in the area of Data Science

Communicate with non‑data scientists in Tech, Operations, Commercial, Product. Understand the domain and the requirements. Explain Data Science principles, concepts, algorithms, and approaches in simple words to different types of audiences

Make data your best friends. Understand their strengths and use them. Be aware of their weaknesses and handle those in your solutions

Screen the market for potential new Data Science approaches

Foster knowledge exchange within the company. Present GfK's Data Science expertise at conferences and workshops

Qualifications Now you know what a Data Scientist does. What skills, qualifications & experience do you need for this job?

You typically have a Master's degree or PhD that reflects modeling and statistics skills and 6+ years of experience.

You enjoy communicating complex methodology and technology to tech and non tech audiences





You have expert statistical / machine learning modeling skills (e.g. statistical tests, classification, predictive modelling, handling of missing data, sampling, weighting)

You have experience with an analytical programming language (Python, R) and the respective ecosystem

Besides the things we really expect you to have, there are some things which would be amazing if you have experience with them:

Knowledge of cloud computing environments and tooling (especially AWS)

Advanced software development skills (unit testing, CI/CD, Git)

Basic skills regarding database handling as SQL

Basic knowledge of the always evolving Data Science ecosystem and its frameworks

Additional Information A meaningful project, where you learn every day and show the team what you've got.

The possibility to be part of a talented team, working with experienced individuals.

A nice place to work, where we foster training, and personal development.

Flex Office: a mix of remote and in‑office work to boost our productivity and promote a healthy work‑life balance.

Our Benefits

Adaptable working environment

Volunteer time off

LinkedIn Learning

Employee‑Assistance‑Program (EAP)

Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.

All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact.

📌 Senior Data Scientist (Madrid)
🏢 Nabla
📍 Madrid