Nicholas Elliot Mountjoy
Burke,VA
Summary
Dynamic and results-oriented mathematical statistician and data scientist with over 15 years of federal experience, specializing in rigorous statistical analysis and reproducible data. Expertise in delivering production-ready estimates and insights for IRS Statistics of Income (SOI) research programs, facilitating informed decision-making through comprehensive survey sampling design, stratification analysis, and precision measurement of large administrative datasets. Proficient in creating repeatable, auditable data workflows using SAS, R, Python, and SQL while continuously adopting innovative methods to enhance accuracy and efficiency. Known for meticulous attention to detail, exceptional customer service, and effective knowledge management through clear documentation and process improvements. Looking to apply these methods to prove consistent clemency recommendations while delivering quality service and continuous learning in a high-confidentiality environment as a data scientist in the Department of Justice’s Office of the Pardon Attorney.
Overview
16
16
years of professional experience
Work History
Mathematical Statistician (GS-12)
Internal Revenue Service (IRS), Research, Applied Analytics & Statistics (RAAS) – Statistics of Income (SOI)
Washington D.C.
05.2010 - Current
- Delivered customer-facing SOI Corporation Research outputs by selecting samples from corporate tax returns and producing weighted estimates used for publications and external partners (e.g., Bureau of Economic Analysis).
- Supported data-driven decision making by analyzing and implementing annual sampling design updates (sampling rates and stratum boundaries); contribute to Programming Requirements Packages (PRPs) and technical specifications.
- Executed end-to-end weighting workflows, producing advanced and final data weights and generating precision metrics (e.g., coefficients of variation) for key publication tables.
- Maintained high data integrity through meticulous quality reviews during sample selection (weekly count checks, code review, consistency testing, and validation of derived fields) using R, SAS and SQL.
- Led or contributed to systems accessibility testing (Business Master File) and Section 14.1 consistency testing: built test cases, ran jobs, evaluated outputs, and partnered with programmers to resolve defects.
- Advanced knowledge management by creating and maintaining Excel-based calculators, templates, and step-by-step documentation to standardize recurring tasks and improve repeatability.
- Provided statistical subject-matter expertise and customer service to internal partners; translated technical methods and results for technical and non-technical audiences.
- Contributed to investigations and audits requiring data privacy and protection subject-matter input.
Education
Master of Science - Data Analytics
George Mason University
Fairfax, VA12-2022
Bachelor of Science - Statistics & Psychology
Virginia Polytechnic Institute And State University (Virginia Tech)
Blacksburg, VA05-2011
Skills
- SAS programming
- R programming
- Python programming
- SQL database and querying
- Tableau
- Minitab
- Integrated Data Retrieval System (IDRS)
- Microsoft Office (Excel, Word, PowerPoint, Access, Outlook)
Timeline
Mathematical Statistician (GS-12)
Internal Revenue Service (IRS), Research, Applied Analytics & Statistics (RAAS) – Statistics of Income (SOI)
05.2010 - Current
Master of Science - Data Analytics
George Mason University
Bachelor of Science - Statistics & Psychology
Virginia Polytechnic Institute And State University (Virginia Tech)