Research Mathematical Statistician

Job Duties

Duties include, but are not limited to, the following:

• Apply advanced mathematical and statistical techniques such as sample design, estimation, variance estimation, disclosure avoidance, data linkage, and small-area/domain estimation.
• Conduct research studies to develop or improve sampling and estimation strategies for BLS programs
• Enhance efficiency and quality of the statistical products using scientific, statistical, computational, and predictive techniques (e.g., regression analysis, modeling, mathematical programming).
• Document and disseminate research findings to appropriate internal and external audiences, ensuring clarity and accuracy.
• Serve as a technical consultant to program offices and staff on statistical methodology, data science techniques, and analytic tools.
• Collaborate with IT and survey processing offices to ensure proposed statistical or data science solutions are feasible within system constraints.
• Advise leadership and program staff on the advantages, limitations, and applicability of statistical and data science approaches.
• Provide training, presentations, and technical seminars to internal or external audiences on statistical methods and data science concepts.
• Stay current with developments in statistical methods, technologies, and programming languages and incorporate new techniques into ongoing research.
• Engage in outreach and collaboration with other agencies and research organizations to exchange methodological insights and stay aware of emerging techniques.
• Use statistical software and computing tools (e.g., SAS, R, Stata, Python, Excel) to analyze data, implement methodologies, and support research activities.
• Lead or coordinate research teams or project groups (applies more heavily to GS-13 and GS-14) to plan, manage, and complete complex methodological projects.