Lead Data Scientist

As a Lead Data Scientist within the Data Science Research team in the NIQ Product organization, you will drive the definition and support of new products and methods development, as well as improvement initiatives. Your role will focus on innovation in data processing methods for retail measurement and automation of existing statistical procedures. - Define, plan, and execute analyses regarding innovation initiatives, methodology development, improvement, and process automation - Prototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization - Test-driven development of scalable data processing applications - Deliver high-quality documentation of new methodologies and best practices - Collaborate with experienced Developers, Data Scientists, and Technology engineers - Support various Operations teams as the main users of your solutions - Engage with stakeholders on scope, execution, data exchange, and outcomes for assigned projects - Participate in multiple projects simultaneously Qualifications Required: - Master's degree in Statistics, Mathematics, Computer Science, Engineering, or related fields with outstanding analytical expertise and strong technical skills - At least 5 years of relevant work experience - Extensive experience in trend analyses, multivariate statistics (parametric/non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, automation, and generalization - High proficiency in Python programming language including data analysis and statistical packages (Pandas, NumPy, Scikit-Learn). Good familiarity with Python standard library, especially unittest and argparse modules - Experience with Spark or other big data processing solutions - Experience in machine learning and GenAI/AgenticAI applications - Experience with cloud computing and storage (MS Azure preferred) - Experience with Docker and Linux command line - Ability to quickly manipulate, analyze, and interpret large data sources - Strong communication/writing skills with good English (working in a remote team with a global footprint) - Knowledge of Machine Learning: Understanding of neural networks and deep learning frameworks like TensorFlow and PyTorch - Knowledge of available applications and programming packages for the implementation of LLM based solutions and data processing automation - Knowledge of Data Visualization: The ability to create clear and compelling charts and graphs using tools like Tableau, Power BI, or Matplotlib to communicate findings to stakeholders NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. With a holistic retail read and the most comprehensive consumer insightsdelivered with advanced analytics through state-of-the-art platformsNIQ 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. As a Lead Data Scientist within the Data Science Research team in the NIQ Product organization, you will drive the definition and support of new products and methods development, as well as improvement initiatives. Your role will focus on innovation in data processing methods for retail measurement and automation of existing statistical procedures. - Define, plan, and execute analyses regarding innovation initiatives, methodology development, improvement, and process automation - Prototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization - Test-driven development of scalable data processing applications - Deliver high-quality documentation of new methodologies and best practices - Collaborate with experienced Developers, Data Scientists, and Technology engineers - Support various Operations teams as the main users of your solutions - Engage with stakeholders on scope, execution, data exchange, and outcomes for assigned projects - Participate in multiple projects simultaneously Qualifications Required: - Master's degree in Statistics, Mathematics, Computer Science, Engineering, or related fields with outstanding analytical expertise and strong technical skills - At least 5 years of relevant work experience - Extensive experience in trend analyses, multivariate statistics (parametric/non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, automation, and generalization - High proficiency in Python programming language including data analysis and statistical packages (Pandas, NumPy, Scikit-Learn). Good familiarity with Python standard library, especially unittest and argparse modules - Experience with Spark or other big data processing solutions - Experienc