Principal Data Scientist (Machine Learning)

Job Description

Join a global, international team in a flexible working environment.

Lead the development and implementation of advanced machine learning methodologies, with a strong emphasis on deep learning, to enhance panel measurement products.

Present and communicate findings and strategic recommendations based on research and analysis.

Prototype innovative solutions and methodologies to address emerging market challenges.

Support and guide the production deployment of machine learning models and data science solutions.

Document findings, methodologies, and best practices to ensure knowledge sharing and reproducibility.

Qualifications

You would be an excellent addition to our team if you possess deep expertise in machine learning and have hands-on experience applying advanced statistical and ML methods to solve real-world problems.

We are looking for:

· A Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related discipline, with at least five years of relevant experience (a PhD is considered as counting toward the required years of experience).

· Comprehensive knowledge of core concepts and theoretical foundations underpinning machine learning models, particularly within deep learning.

· Advanced proficiency in Python, with hands-on expertise using deep learning frameworks such as TensorFlow and PyTorch.

· Familiarity with cloud computing technologies, especially Azure.

· Experience in utilizing Databricks and Azure AI Studio for the development and deployment of machine learning solutions is preferred.

· Proficient in version control systems, including Git.

· Good analytical skills with the ability to manipulate, interpret, and derive insights from complex data sets.

· Demonstrated commitment to ongoing professional development and adaptability to emerging technologies and tools.

· Proven ability to take ownership of projects, proactively identify opportunities, resolve challenges, and drive initiatives independently.

· Good written and verbal communication skills, complemented by a collaborative approach to teamwork.

Additional Information

Nice to Have:

· Knowledge of consumer behavior and experience with (un)managed consumer-related crowdsourced panels.

· Experience in supporting technology teams in production deployment and scaling of ML solutions.

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