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$50.5K

$86.9K

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How much do agricultural statistician jobs pay per year?

As of Sep 2, 2026, the average yearly pay for agricultural statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What does an agricultural statistician do?

An Agricultural Statistician collects, analyzes, and interprets data related to agriculture, such as crop production, livestock trends, and market prices. They use statistical methods to identify patterns and provide insights that help farmers, policymakers, and agribusinesses make informed decisions. Their work supports food security, resource management, and agricultural policy development.

What skills and qualifications are needed to be an agricultural statistician?

To thrive as an Agricultural Statistician, you need a strong background in statistics, agricultural science, and data analysis, often supported by a relevant degree such as statistics, mathematics, or agronomy. Proficiency with statistical software (such as SAS, R, or SPSS), data visualization tools, and sometimes certifications in statistical methods or data science are highly valued. Strong analytical thinking, attention to detail, and effective communication skills are essential for interpreting data and collaborating with researchers or policymakers. These competencies ensure accurate analysis of agricultural data, support informed decisions, and foster innovation within the agriculture industry.

What types of projects do agricultural statisticians work on, and how do they interact with other professionals?

Agricultural Statisticians often work on projects involving the analysis of crop yields, livestock production, and resource management, using statistical methods to interpret large datasets collected from farms or government surveys. They collaborate closely with agronomists, economists, data analysts, and policymakers to provide valuable insights that guide agricultural practices and policy decisions. The role may involve preparing reports, presenting findings to non-technical stakeholders, and offering recommendations for improving data collection or analysis methods. Depending on the organization, you may work both independently and as part of interdisciplinary teams to solve complex agricultural challenges.

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Agricultural Statistician jobs near you
Infographic showing various Agricultural Statistician job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

Senior Research Statistician

Pivot Path Solutions

Washington, DC • On-site

$98K - $121K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About Pivot Path Solutions
Pivot Path Solutions, LLC is an enterprise IT and business solutions firm based in the National Capital Region. We support Department of Defense, federal civilian, and Intelligence Community customers with mission-focused technology, financial management, data, cybersecurity, and program operations expertise. Pivot Path is an SBA-certified 8(a), Women-Owned Small Business and holds an active Top Secret Facility Clearance.Position Summary
Pivot Path Solutions, LLC is seeking a Senior Research Statistician to support advanced statistical and data science research for the U.S. Department of Agriculture's National Agricultural Statistics Service (USDA NASS). This position will support the modernization of official agricultural statistics through innovative statistical methods, artificial intelligence, machine learning, and the integration of survey and non-survey data.
The Senior Research Statistician will lead day-to-day research activities and develop production-ready statistical methodologies, software, documentation, and research products for operational use by NASS.
Key Responsibilities
  • Develop statistical methodologies supporting NASS agricultural survey and census programs.
  • Develop Bayesian and small-area estimation models.
  • Analyze and model agricultural survey and non-survey data.
  • Integrate survey, administrative, remotely sensed, economic, weather, soil, and geospatial data.
  • Develop machine learning methods for anomaly detection, classification, and adaptive survey design.
  • Apply AI-assisted geospatial harmonization techniques.
  • Use large language models to improve metadata extraction, documentation, and research workflow efficiency.
  • Perform record linkage and entity-resolution research.
  • Develop capture-recapture and calibration algorithms to adjust record-level weights and assess uncertainty against established population benchmarks.
  • Create reproducible, version-controlled research pipelines.
  • Evaluate state-level estimates for conservation data products.
  • Apply statistical disclosure-limitation methods to protect the privacy and confidentiality of farmers' data before publication.
  • Participate in monthly meetings with the Government and quarterly technical reviews.
  • Prepare quarterly progress reports, annual research reports, and publication-quality technical papers.
  • Develop production-ready software, technical documentation, and knowledge-transfer materials.
Minimum Qualifications
  • Ph.D. in Statistics or a closely related quantitative field.
  • At least 10 years of professional research experience conducting recognized statistical or data science research with direct application to agriculture.
  • Demonstrated expertise in:
    • Bayesian statistics
    • Small-area estimation
    • Survey methodology
    • Machine learning and artificial intelligence
    • Geospatial data integration
    • Record linkage and entity resolution
    • Large language models
    • Adaptive survey design
    • Reproducible research methods
  • Extensive experience working with agricultural survey and non-survey data.
  • Strong record of publications involving the analysis of agricultural data.
  • Ability to develop research methodologies and software suitable for operational implementation.
  • Strong technical writing, communication, and collaboration skills.
Work Location and Schedule
The primary place of performance is USDA/NASS Headquarters in Washington, DC 20050. Telework is limited and may be performed only when authorized in writing by the Government.
Equal Employment Opportunity
Pivot Path Solutions, LLC is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other status protected by applicable law.

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