NORC’s Research Science staff work closely with colleagues to support projects and proposals across the organization. Our research and expertise in statistics, data science, artificial intelligence, and survey methodology are central to every project NORC conducts. We develop and validate new ideas and approaches and find new ways to apply tried-and-true practices. Our work is guided by a commitment to high quality, nonpartisan, transparent research that ensures our clients get research and insights they can trust. This position is in the Statistics and Data Science department but supports staff and works across the Research Science division which includes the Statistics and Data Science team, as well as Methodology and Quantitative Social Sciences team.
The Statistics and Data Science department implements state-of-the-art statistical methods and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Statistics and Data Science department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for sampling, weighting, and imputation for sample surveys and evaluation research. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including statistical modeling, machine learning methods, data linkage, statistical matching, data disclosure control, small area estimation, Bayesian analysis, assessing data quality, data visualization for analyzing and interpreting data, and developing approaches using artificial intelligence (AI) that support NORC’s research. The department collaborates with the departments throughout NORC, as well as leading its own projects.
