Data Scientist

US-Office-of-Inspector-Genera; Tucson (AZ); On-site; USD 70,000 - 120,000; Full time

Job summary

Office of Inspector General (DHS-OIG) in the United States conducts investigations, audits, evaluations, and inspections to promote integrity in DHS programs. The role requires specialized statistical experience across GS-11 to GS-13 levels and proficiency in open-source languages like R or Python.

Responsibilities include developing data models, delivering comprehensive written reports, and presenting findings to senior management and non-technical audiences.

Qualifications

• Specialized experience for GS-11 includes applying statistical analyses and data-driven recommendations.
• Experience using R or Python to perform descriptive and inferential statistics and regression.
• Developing and updating logical data models for integrated data in analytics tools.
• Preparing written products and delivering briefings to both technical and non-technical audiences.

Responsibilities

• Prepare and present clear analytic reports describing methods and findings.
• Deliver oral briefings explaining analytical results and implications to leadership.

Skills

Statistical analyses

R or Python

Data modeling

Written reports

Tools

Graphical link analysis tools

Geospatial software

Visualization software

Natural language processing software

Job description

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.

Minimum Qualifications GS-12: Must have at least one year of specialized experience equivalent to GS-11 grade level in the Federal service. Specialized experience for this position includes:

• 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.

Minimum Qualifications GS-13: Must have at least one year of specialized experience equivalent to GS-12 grade level in the Federal service. Specialized experience for this position includes:

• 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.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.The qualification requirements listed above must be met by the closing date 09/02/2026of this announcement.The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.