Data Scientist
Office of Inspector General
Summary 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. Learn more about this agency Duties Help This announcement is for the DHS-Wide Career Expo in Buffalo, NY. Applicant must register for the Career Expo to apply and be considered. **This is an open continuous announcement with two cutoff Dates:
- 08/19/2026
- 09/02/2026
- Extracting, cleaning, transforming, and organizing structured and semi-structured data (e.g., resolving inconsistencies, handling missing values, normalizing fields) to prepare datasets for analysis.
- Applying descriptive statistics (e.g., counts, means, medians, standard deviations), inferential techniques (e.g., t-tests, chi-square tests) libraries or functions (e.g. in R or Python), or more advanced techniques (e.g., machine learning models, risk modeling) to address stakeholder questions and identify patterns, anomalies, or relationships in the data.
- Building and updating dashboards, reports, and visualizations in tools such as Power BI, Tableau, or similar platforms.
- Automating routine manual tasks (e.g., parsing large data files, merging files, recurring data quality checks, scheduled refreshes) to improve efficiency and reduce errors.
- Participating in discussions with auditors, investigators, inspectors, and other stakeholders to clarify data needs, understand business rules, refine analytical questions and translate stakeholder questions into concrete data tasks.
- You must be a U.S. citizen to apply for this position
- You must successfully pass a background investigation
- You must be able to obtain Secret security clearance
- Financial disclosure is required
- Selective Service registration required
- Completion of one-year probationary period may be required.
- Submission of Performance Appraisal is mandatory
- 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.
Vacancy posted 3 days ago
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