Company Description
NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world's population. Focusing on consumer-packaged goods manufacturers and FMCG and retailers, we enable customers to defy what's possible. How? We combine unparalleled datasets, pioneering technology, and the industry's top talent to create insights that unlock innovation. Join us and change the landscape.
Job Description
As a Machine Learning Engineer you will have the 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 and 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; Spanish is a plus.
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 training will help you to close potential knowledge gaps and quickly bring you up to speed.
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.
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.
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.
#J-18808-Ljbffr
