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Senior Agriculture Data Science Jobs (NOW HIRING)

Bunge

Data Scientist

Chesterfield, MO · On-site +1

... senior leadership, traders, and business units, supporting informed decision-making and global risk ... Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative ...

PROPRIUS

Senior Data Scientist

San Francisco, CA · On-site

Senior Data Scientist Location: San Francisco, CA Sponsorship: Yes Relocation: Yes Industry ... Data Science Are you an experienced Data Scientist with 5+ years' experience who likes solving ...

Totalwine

You will report to the Sr. Director, Data Science. You will * Spearhead the strategy and execution of enterprise-wide data science, machine learning, and AI initiatives, ensuring alignment with ...

Amazon

Sr Manager, Data Science & AI, R2L

Bellevue, WA · On-site

We are looking for a customer-focused, solutions-oriented Senior Manager, Data Science to lead and scale the data science function within the R2L organization. In this role, you will build and manage ...

Leidos

Senior Data Scientist

Reston, VA · On-site

Leidos is seeking a Senior AI/Data Scientist to drive advanced AI development for a strategic ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

Amazon

Sr Manager, Data Science & AI, R2L

Bellevue, WA · On-site

We are looking for a customer-focused, solutions-oriented Senior Manager, Data Science to lead and scale the data science function within the R2L organization. In this role, you will build and manage ...

CVS Health

Sr Manager, Data Science

Woonsocket, RI · On-site +1

$140K - $260K/yr

Caremark LLC, a CVS Health Company, is hiring for the following role in Woonsocket, RI: Sr. Manager Data Science to: Leads data science team to develop insights from data in order to investigate ...

Formation Bio

Director, Data Science

Boston, NY · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... Present complex analytical findings to senior stakeholders, including executive leadership About ...

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Senior Agriculture Data Science information

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How much do senior agriculture data science jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for senior agriculture data science in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is the difference between Senior Agriculture Data Science vs Agriculture Data Scientist?

AspectSenior Agriculture Data ScienceAgriculture Data Scientist
Required CredentialsBachelor's/Master's in Data Science, Agriculture, or related fields; experience preferredBachelor's/Master's in Data Science, Agriculture, or related fields; entry to mid-level experience
Work EnvironmentResearch labs, agricultural companies, tech firmsResearch institutions, agricultural firms, startups
Employer & Industry UsageUsed in organizations seeking advanced data analysis and leadershipUsed in organizations focusing on data analysis and modeling in agriculture

Senior Agriculture Data Science roles typically require more experience, leadership, and advanced skills compared to Agriculture Data Scientists. While both roles involve data analysis in agriculture, senior positions often include project management and strategic responsibilities, whereas data scientists focus on technical analysis and modeling.

What cities are hiring for Senior Agriculture Data Science jobs?

Cities with the most Senior Agriculture Data Science job openings:

What are the most commonly searched types of Agriculture Data Science jobs?

The most popular types of Agriculture Data Science jobs are:

What states have the most Senior Agriculture Data Science jobs?

States with the most job openings for Senior Agriculture Data Science jobs include:

Senior Agriculture Data Science jobs near you

Senior Research Statistician

Pivot Path Solutions

Washington, DC • On-site

$98K - $120K/yr

Full-time

This job post has expired 1 day ago. 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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