Senior Data Scientist

NIQ is the world’s leading consumer intelligence company, delivering comprehensive consumer insights and advanced analytics. In 2023, it combined with GfK to bring together two industry leaders with global reach, operating in over 100 markets and covering more than 90% of the world’s population.

• B.S., Masters, or PhD degree in Statistics, Mathematics, Social Science, Operations Research, or other hard sciences with outstanding analytical expertise and strong technical skills.
• At least 3 years of relevant work experience.
• Experience in trend analyses, multivariate statistics (parametric/non-parametric), sampling, optimization, bias reduction, indirect estimation, data aggregation techniques, automation, and generalization.
• Good data visualization skills.
• Proficient 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, analyze, 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 like 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 for innovation initiatives, methodologies, standards, and KPIs.
• Prototype solutions and support pilot programs for R&D, including trend analyses, sampling, bias reduction, indirect estimation, data integration, automation, and generalisation.
• Test-driven development of scalable data processing applications.
• Deliver documentation of new methodologies and best practices.
• Collaborate with an experienced team of Developers and Data Scientists.
• Support Operations teams as main users of the solutions.
• Engage with stakeholders on scope, execution, data exchange, and outcomes.
• Participate in multiple projects simultaneously.

NIQ may utilize AI tools during the recruitment process for efficiency and fairness; final hiring decisions are made by humans. The company commits to fairness, transparency, human oversight, and inclusion in AI use.