This is a role for someone who enjoys both experimentation and engineering—someone who wants to see their models evolve from initial ideas into fully operational products used worldwide.
Responsibilities
Design, develop, test, deploy, maintain and enhance data science solutions using software engineering best practices
Study and convert data science prototypes to production quality DS/ML Solution
Implement machine learning solutions at a large scale, in on-premises or cloud-based environments
Create and improve methods and tools and contribute to best practices in the area of Data Science
Foster ML related knowledge exchange within NIQ, especially around code quality and engineering best practices related knowledge exchange within NIQ
Present NIQ’s MLE / DS expertise at conferences and workshops
Master or Bachelor degree that reflects computer science / engineering and statistical / mathematical skills
Typically 2+ years of work experience
Solid experience with production-level code quality metrics and working closely with software and testing engineers
Expert skills in Python and the respective statistical ecosystem
Solid statistical skills
either in survey statistics (sampling, non-response adjustments, Bayesian statistics),
or econometric modelling (program evaluation, forecasting, economic theory, panel data),
or observational causal inference (potential outcomes, structural equation models, instrumental variables)
or experimental design
Experience working with docker
Soft Skills
Ease of communication in an English-speaking business environment
Be well-organised and flexible, and demonstrate self-confidence, decisiveness and commitment
Good attention to detail – ensure all outputs are delivered professionally and accurate
Mathematical thinking, strong analytical and problem-solving skills
Our Benefits
Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/
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
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
