The Office of Inspector General (OIG) is an independent office whose mission is to promote excellence, integrity, and accountability throughout the Department of Homeland Security (DHS). In our dynamic environment, the OIG conducts investigations, audits, evaluations, and inspections to enhance program effectiveness and efficiency and to detect and prevent waste, fraud, and mismanagement in DHS programs and operations. Minimum Qualifications GS-11: Must have at least one year of specialized experience equivalent to GS-09 grade level in the Federal service. Specialized experience for this position includes:
- Assisting with the application of statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
- Writing and modifying scripts with open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line)
- Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
- Contributing to written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.
- Applying a range of statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
- Utilizing open source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line).
- Developing and implementing logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
- Preparing clear, well organized written products and delivering oral briefings that explain analytical methods, results, and implications to both technical and non-technical audiences or management.
- Conducting statistical analysis to make informed projections, data driven decisions, and recommendations based on findings.
- Utilizing open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line.
- Developing and implementing logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
- Preparing and delivering clear, concise, and comprehensive written reports and oral presentations that communicate complex technical data analyses, findings, and recommendations to both technical and non-technical audiences, including senior management.
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