Machine Learning Engineer

Company Description

GFK - Growth from Knowledge.

For over 89 years, we have earned the trust of our clients around the world by solving critical questions in their decision-making process. We fuel their growth by providing a complete understanding of their consumers’ buying behavior, and the dynamics impacting their markets, brands and media trends.

In 2023, GfK combined with NIQ, bringing together two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights - delivered with advanced analytics through state-of-the-art platforms - GfK drives “Growth from Knowledge”.

Job Description

As a Machine Learning Engineer you will have following key accountabilities:    

• Design, develop, test, deploy, maintain and enhance Machine Learning solutions using best software engineering practices 
• Implement machine learning solutions / pipelines which can scale, in cloud-based environments (AWS) utilizing containerized applications, distributed processing frameworks, CI/CD tools, airflow/ other orchestration tools, terraform/ other IAAC tools, monitoring solutions like Grafana 
• Optimize data science and machine learning models using code optimization, high performance computing 
• Define and implement best practices in Media Measurement’s Data Science solutions with a focus on end-to-end management of the model lifecycle using MLOps practices  
• Actively share Data Science knowledge within our organization and represent GfK’s Data Science expertise at conferences and workshops 

Qualifications

Now you know what a Machine Learning Engineer does. What skills, qualifications & experience do you need for this job?   

• Ability to fluidly communicate in an English business environment 
• PhD or master's degree that reflects computer science/engineering and statistical/mathematical skills and 2+   years of experience 
• Solid programming skills in languages such as Python and the respective Machine Learning ecosystem  
• Solid computer science/engineering fundamentals, including data structures, algorithms, computability and complexity and computer architecture, software design principles and patterns and testing strategies 
• Solid expertise in distributed computing in the cloud, dealing with enormous amounts of data and distributed computations 
• Knowledge of Math, Statistics and Machine Learning (e.g., statistical tests, classification, predictive modelling, handling of missing data, sampling, weighting) 
• Working experience with agile development practices is a plus 

Admittedly, this is a long list and we do not expect you to be able to tick off every single point on it. Learning on the job and formal trainings will help you to close potential knowledge gaps and quickly bring you up to speed.  

Additional Information

Additional information

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.

Our Benefits

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

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion