Data Scientist

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. Job Description As Data Scientist you will have the 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, statistics, and machine learning models - You improve methods and tools, and contribute to our communities of practice in the area of Data Science - You communicate with non-data scientists in Tech, Operations, Commercial, Product, understand the domain and the requirements, and explain Data Science principles, concepts, algorithms, and approaches in simple words to different types of audiences - You make data your best friends, understand their strengths and use them, be aware of their weaknesses and handle those in your solutions - You screen the market for potential new Data Science approaches - You foster knowledge exchange within the company and 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 In addition, the following experience would be amazing: - 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 - Flexible working environment - Volunteer time off - LinkedIn Learning - Employee-Assistance-Program (EAP) Commitment