Senior Data Scientist

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 two industry leaders with unparalleled global reach. NIQ delivers advanced analytics through state-of-the-art platforms and operates in 100+ markets, covering more than 90% of the world’s population.

• B.S., Masters, or PhD in Statistics, Mathematics, Social Science, Operation Research, or other hard sciences with strong analytical expertise and technical skills.
• At least 3 years of relevant work experience.
• Experience in trend analyses, multivariate statistics, sampling, optimization, bias reduction, indirect estimation, data aggregation, automation, and generalization.
• Good data visualization skills.
• Proficiency in Python including data analysis and statistical packages (Pandas, Polars, NumPy, Scikit-Learn); familiarity with Python standard library modules unittest and argparse.
• Experience with Apache Spark or other big data processing solutions.
• Experience with cloud computing and storage (preferably MS Azure).
• Ability to manipulate and interpret large data sources.
• Strong communication and writing skills in English.

Preferred:

• Experience in NIQ methodologies, data collection, platforms, research processes, and operations.
• Experience in machine learning for prediction and classification.
• Understanding of neural networks and deep learning frameworks such as TensorFlow and PyTorch.
• Knowledge of GenAI and AgenticAI applications and programming packages for LLM-based solutions and data processing automation.
• Experience with Docker and Linux command line.

• Support definition and execution of analyses targeting innovation initiatives, development and implementation of methodologies, standards, and KPIs.
• Prototype solutions and support pilot programs for R&D, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization.
• Develop scalable data processing applications using test-driven development.
• Deliver documentation of new methodologies and best practices.
• Collaborate with Developers and Data Scientists.
• Support Operations teams as main users of solutions.
• Engage with stakeholders on project scope, execution, data exchange, and outcomes.
• Participate in multiple projects simultaneously.