Senior Data Scientist (Data Science, ML models, Python, Statistics)

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.

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

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

Requirements

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; You typically have a Master's degree or PhD that reflects modeling and statistics skills and 7+ years of experience in Data Science, Statistics and ML models.; 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 ) and the respective ecosystem; 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

Benefits

Flexible working environment; Volunteer time off; LinkedIn Learning; Employee-Assistance-Program (EAP)