You will work with a global R&D team dedicated to the development of new methodologies for NIQ’s Retail Measurement Service within in the Data Science organization. We are looking for someone to be part of a transformational initiative to improve product and data quality and design new methodologies and solutions. Someone who can leverage advanced technologies – including statistical methods, machine learning, and artificial intelligence – to integrate heterogeneous data sources and, coupled with strong analytical skills, successfully deliver on R&D tasks.

You should be a scientist at heart and have a passion for innovation, research & development (R&D), and challenging data opportunities!

Responsibilities

• Research and develop new methodologies, research directions, and quantify their improvement
• Deliver methodological enhancements to improve quality gain process efficiencies.
• Work closely with different teams such as technology, other Data Science teams, internal stakeholders during development & deployment of new methodologies.
• Prototype as well as support pilot programs to drive innovation.
• Own and maintain Data Science global methodologies and ensures they are well documented and understood.
• Engage & motivate team on seeking further understanding of data and methods.
• Reviews the progress of projects and PoCs and proposes improvements and constructive critiques.

• Master’s / Doctorate Degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or comparable experience in field involving statistical analysis of extremely large data sets.
• At least 5 years of relevant experience.
• Exhibits a solid understanding of the FMCG industry for specific core process and advanced knowledge of RMS systems/products.
• Experience in product research, design and implementation.
• Comfortable designing solutions and supporting a team to execute.
• Displays critical and innovative thinking coupled with strong analytical skills focused on experimentation and hypothesis testing.
• Can support others to understand and apply advanced technical principles & methodologies, creating clarity and focus for teams to deliver.
• Domain expert knowledge at least in one area of the following: programming, statistical analysis / machine learning / deep learning, time series, sampling.
• Experienced in Python programming and working with large-scale databases (e.g., SQL, Hadoop, pySpark, etc). Experience with Azure, DataBricks, and CI/CD is a plus.
• Able to work in virtual environment and comfortable with git (Github) processes.
• A continuously learner willing to experiment and adopt new technologies and tools.
• Strong communication, presentation and collaboration skills.

Our Benefits

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

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

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