Senior Data Scientist in the Data Science Methods team within the NIQ Product organization, focusing on innovation in data processing methods for retail measurement and automation of existing statistical procedures. Responsibilities include defining and executing analyses for innovation initiatives, developing methodologies, standards, and KPIs; prototyping solutions and supporting pilot programs for research and development, including trend analyses, sampling, bias reduction, indirect estimation, data integration, automation, and generalization; test-driven development of scalable data processing applications; delivering documentation of new methodologies and best practices; collaborating with an experienced team of developers and data scientists; supporting various operations teams as primary users; engaging with stakeholders on scope, execution, data exchange, and outcomes; and participating in multiple projects simultaneously. Qualifications include a degree (B.S., M.S., or Ph.D.) in Statistics, Mathematics, Social Science, Operations Research, or other hard sciences with strong analytical and technical skills, and at least 3 years of relevant experience. Required skills include 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 and the ability to create clear, compelling charts and graphs. Benefits include a flexible working environment, volunteer time off, LinkedIn Learning, and an Empl

Senior Data Scientist in the Data Science Methods team within the NIQ Product organization, focusing on innovation in data processing methods for retail measurement and automation of existing statistical procedures. Responsibilities include defining and executing analyses for innovation initiatives, developing methodologies, standards, and KPIs; prototyping solutions and supporting pilot programs for research and development, including trend analyses, sampling, bias reduction, indirect estimation, data integration, automation, and generalization; test-driven development of scalable data processing applications; delivering documentation of new methodologies and best practices; collaborating with an experienced team of developers and data scientists; supporting various operations teams as primary users; engaging with stakeholders on scope, execution, data exchange, and outcomes; and participating in multiple projects simultaneously. Qualifications include a degree (B.S., M.S., or Ph.D.) in Statistics, Mathematics, Social Science, Operations Research, or other hard sciences with strong analytical and technical skills, and at least 3 years of relevant experience. Required skills include 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 and the ability to create clear, compelling charts and graphs. Benefits include a flexible working environment, volunteer time off, LinkedIn Learning, and an Empl