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 what 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 to our clients.
You will:
Own together with your team several of our Data Science solutions throughout the full life cycle (brainstorming, design, implementation, productization, and maintenance) Develop solutions based on data science, stats, and machine learning models Improve methods and tools and contribute to our communities of practice in the area of Data Science Communicate with non-data scientists in Tech, Operations, Commercial, Product and understand the domain and the requirements 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 have:
2+ years of relevant experience A Master's degree / PhD that reflects modeling and statistics skills The ability to communicate complex methodology and technology to tech and non-tech audiences Expert statistical / machine learning modeling skills (e.g. statistical tests, classification, predictive modelling, handling of missing data, sampling, weighting) Experience with an analytical programming language (Python, R) and the respective ecosystem It would be a nice addition if you have:
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:
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. We are an ethical and honest company that is wholly committed to its clients and employees. We are proud to be an inclusive workplace for all and are committed to equal employment opportunity, focusing on all of our employees reaching their full potential. We respect and value every employee regardless of race, ethnicity, gender, sex, sexual orientation, age, personality, experience, culture, faith, socio-economic status, or physical or mental disabilities.
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