Launch Your Career as a Mathematical Statistician with the USDA
Are you passionate about turning raw numbers into actionable national intelligence? The Department of Agriculture’s National Agricultural Statistics Service (NASS) is hiring Mathematical Statisticians in Olivette, Missouri. This is a unique opportunity to apply high-level quantitative skills to the mission of measuring the heartbeat of America's agriculture.
Job Responsibilities
As a Mathematical Statistician, you will be the backbone of our data operations. Key responsibilities include:
- Designing survey methodologies to capture accurate agricultural production data.
- Applying complex probability and sampling theory to refine estimations.
- Using automated data processing to manage, clean, and analyze vast datasets.
- Preparing interpretive reports that distill technical findings into clear, actionable insights for stakeholders.
- Collaborating with program experts to evaluate methodologies and ensure data integrity.
Requirements
To be eligible for this position, applicants must meet specific federal requirements:
| Requirement | Description |
|---|---|
| Education | Min. 24 semester hours in Math/Stats (12 Math, 6 Stats) |
| Citizenship | U.S. Citizenship or National required |
| Resume | Maximum 2-page limit |
| Compliance | Selective Service, E-Verify, and background check |
Salary and Benefits
The position offers a competitive salary range of $51,740 to $99,550 per year, commensurate with your experience level and qualifications. Beyond base pay, federal employees enjoy an industry-leading benefits package, including health insurance, retirement planning, and potential career growth pathways.
Application Tips
- Focus on the Resume: With a strict two-page limit, emphasize your specialized experience in statistical analysis rather than irrelevant past job duties.
- Verify Transcripts: Ensure your transcripts are legible and clearly display your name and the required coursework.
- Assessments: Be prepared to complete the USA Hire assessments. These are a critical part of the hiring process, and practicing ahead of time is strongly recommended.
Working for the NASS is more than a job—it is a chance to provide the data that fuels American agriculture. If you possess a sharp analytical mind and a dedication to statistical integrity, apply today.
Why This Mathematical Statistician Job Matters
Shape the future of American agriculture by leveraging advanced statistical analysis with the USDA.
Mathematical Statistician Job Overview
The National Agricultural Statistics Service (NASS), a vital agency within the Department of Agriculture, is seeking motivated Mathematical Statisticians to join the team in Olivette, Missouri. In this role, you will influence the precision and integrity of national agricultural reporting by designing surveys, developing estimation methodologies, and analyzing complex datasets that guide national economic and environmental policy.
Requirements for Mathematical Statistician
- U.S. Citizenship or National status.
- Registration with the Selective Service for males born after December 31, 1959.
- Completion of a 1-year probationary period.
- Academic degree including 24 semester hours in math and statistics (minimum 12 in math, 6 in statistics).
- Ability to pass background investigations and E-Verify checks.
- Maximum two-page resume limit.
Preferred Qualifications for Mathematical Statistician
- Experience in independent statistical dataset analysis.
- Proficiency in applying mathematical models to research and program evaluation.
- Experience in technical report writing and presenting data findings.
- Strong understanding of sampling theory and probability.
- Competence in using automated data processing for statistical computation.
Federal Benefits & Perks
- ✓Competitive federal salary structure.
- ✓Opportunities for non-competitive career progression.
- ✓Comprehensive federal benefits package.
- ✓Professional development and career mentoring.
- ✓Meaningful work impacting the national agricultural economy.
đź’ˇ How to Apply Mathematical Statistician Job & Insider Tips
Application Steps for Mathematical Statistician Job
- Create or update your USAJOBS account.
- Prepare a resume that strictly adheres to the two-page limit.
- Gather transcripts to prove educational eligibility.
- Apply online by selecting the 'Apply Online' button.
- Complete the online questionnaire and required assessments.
- Monitor your email for USA Hire assessment instructions.
- Submit your application and documentation before the closing date.
đź’ˇ General Tips
- Double-check your resume page count—applications exceeding two pages are automatically rejected.
- Ensure your transcripts show your name and the required math/stats course credit hours.
- Use the USA Hire practice assessments available on the OPM website to prepare.
- Review your application status in your USAJOBS dashboard periodically.
- Upload supporting documents in accepted formats (PDF, TXT, Word) and keep them under 5MB each.
Frequently Asked Questions
What is the education requirement for this position?
You must possess at least 24 semester hours in mathematics and statistics, specifically including at least 12 hours of mathematics and 6 hours of statistics.
Is this position eligible for remote work?
No, this position is based in Olivette, Missouri and is not listed as remote-eligible.
What happens if my resume exceeds two pages?
Your application will be disqualified from consideration.
Can I upload an Adobe Portfolio?
No, Adobe Portfolios are not accepted. Use standard formats like PDF or DOCX.
Is a security clearance required?
No security clearance is required, though you must pass a suitability/fitness adjudication.
Job from National Agricultural Statistics Service
The National Agricultural Statistics Service (NASS) serves as the primary data collection and dissemination arm of the USDA. By gathering accurate, timely, and useful agricultural information, NASS helps support the nation's farmers and ranchers while providing vital data for economic forecasting, environmental management, and policy decisions.
