Senior Data Scientist

Senior Data Scientist at The Coleridge Initiative, Inc. Lead large-scale government data projects, including cross-functional team coordination, client relationship management with federal agencies, and budget management. Create and implement record linkage algorithms using Python, integrating administrative records and survey data to enhance the value of government agency data products. Modernize outdated government data systems by transitioning legacy codebases from SAS/STATA to R/Python. Develop and deliver educational materials and training programs on Python, R, and SQL coding best practices to enhance government agency staff capabilities. Train and mentor government analysts at federal and state agencies, strengthening data science analytical capabilities across agencies. Build and maintain interactive dashboard visualizations using tools like R Shiny to deliver dynamic, data-driven reports that inform agency leadership and policymakers in decision-making. Conduct text analysis and natural language processing (NLP) to extract insights from unstructured data. Author and contribute to federally funded reports and research papers documenting the impact of government data science initiatives.

Requires a Master’s degree or foreign equivalent in Applied Data Science, Computational Linguistics, or a closely related computer science or quantitative social science field and five (5) years of experience as a data scientist, research scientist, or in a related role working with administrative and survey data, including the following experience: 5 years of Python programming experience in government data analysis; 3 years of R and SQL programming in government data cleaning, database work, analysis, and visualization; 2 years of project management experience for government-funded data projects, including budget management; 2 years of large-scale text analysis, focusing on government data applications; 2 years using record linkage methodologies in Python, integrating micro-level confidential government survey data and administrative records; 2 years delivering applied data science training programs to federal government agencies (e.g., NSF, DOL, USDA, ACF) and state-level agencies; 1 year modernizing federal government agencies’ legacy codebases, migrating from SAS and STATA to R and Python; and demonstrated experience in academic research, evidenced by at least one published paper in a peer-reviewed journal or government agency publication and a presentation at a professional conference--published work and conference presentation should be related to data science. Telecommuting required--may telecommute from anywhere in the U.S.