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Geospatial Data Science Agriculture Jobs (NOW HIRING)

Vantor

Senior Geospatial Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

Bachelor's degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline. * 12+ years of professional experience in geospatial technology, software ...

Delan Associates, Inc

Sr. Data Scientist

Juno Beach, FL · On-site

... geospatial data into actionable insights. The position requires deep expertise in data science techniques and handson experience with spatial analytics at scale Responsibilities: * This position ...

Maxar

Senior Geospatial Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

Bachelor's degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline. * 12+ years of professional experience in geospatial technology, software ...

Doist

Sr. Data Scientist

Juno Beach, FL · On-site

$120 - $190/hr

... leaders to translate geospatial data into actionable insights. The position requires deep expertise in data science techniques and hands-on experience with spatial analytics at scale.

BAE Systems

Data Scientist Prin

Augusta, GA · On-site

$107K - $182K/yr

... geospatial data processing, and general intelligence analysis. The candidate must possess familiarity in GEOINT operations and extensive knowledge in data science to be considered. #GACC Required ...

kgs

Data Scientist

Cape Canaveral, FL · On-site

... data science or related field * Proven experience with machine learning and statistical modeling * Strong background in geospatial analysis * Demonstrated track record of successful analytical ...

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Geospatial Data Science Agriculture information

See salary details

$62.5K

$77.4K

$92.5K

How much do geospatial data science agriculture jobs pay per year?

As of Aug 21, 2026, the average yearly pay for geospatial data science agriculture in the United States is $77,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $82,000.00 per year, depending on experience, location, and employer.

What is geospatial data science agriculture?

Geospatial Data Science in Agriculture involves the use of geographic information systems (GIS), remote sensing, and data analytics to collect, analyze, and interpret location-based agricultural data. This field helps farmers and agribusinesses make better decisions about crop management, soil health, irrigation, and yield optimization by integrating spatial data with machine learning and statistical models. The goal is to improve productivity, sustainability, and efficiency in agricultural operations. Professionals in this area work with satellite images, drones, GPS data, and other geospatial technologies to monitor and manage farmland more effectively.

What are the key skills and qualifications needed to thrive as a geospatial data science agriculture professional?

To thrive as a Geospatial Data Science Agriculture professional, you need expertise in GIS, remote sensing, statistics, and agronomy, supported by a relevant degree in data science, geography, or agricultural science. Familiarity with tools like ArcGIS, QGIS, Python, R, and satellite imagery analysis platforms is typically required. Strong analytical thinking, problem-solving, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These competencies enable the development of data-driven insights to optimize agricultural practices and drive sustainable outcomes.

How does a geospatial data scientist in agriculture typically collaborate with agronomists and field teams?

Geospatial Data Scientists in Agriculture often work closely with agronomists and field teams to translate complex spatial data analyses into actionable insights for crop management. Collaboration usually involves regular communication to understand field conditions, sharing geospatial findings through maps or dashboards, and integrating agronomic expertise into data models. This teamwork ensures that analytical outputs are practical and directly support precision agriculture decisions, such as optimizing irrigation, fertilization, and pest management. Being proactive in cross-functional meetings and field visits can significantly enhance the relevance and impact of your work.

What is the difference between Geospatial Data Science Agriculture vs Geospatial Analyst?

AspectGeospatial Data Science AgricultureGeospatial Analyst
Required CredentialsDegree in Data Science, GIS, or related fields; certifications in GIS or data analysisDegree in Geography, GIS, or related fields; GIS certifications often preferred
Work EnvironmentResearch-focused, data modeling, and analysis in agriculture settingsMapping, spatial analysis, and data visualization across various industries
Employer & Industry UsageAgri-tech companies, research institutions, government agenciesEnvironmental firms, government agencies, consulting firms

While both roles involve spatial data analysis, Geospatial Data Science Agriculture emphasizes advanced data modeling and analytics specific to agriculture, whereas Geospatial Analysts focus on mapping and spatial visualization across multiple sectors. The roles share similar credentials but differ in focus and application.

More about Geospatial Data Science Agriculture jobs

What cities are hiring for Geospatial Data Science Agriculture jobs?

Cities with the most Geospatial Data Science Agriculture job openings:

What states have the most Geospatial Data Science Agriculture jobs?

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

What job categories do people searching Geospatial Data Science Agriculture jobs look for?

The top searched job categories for Geospatial Data Science Agriculture jobs are:

Geospatial Data Science Agriculture jobs near you
Infographic showing various Geospatial Data Science Agriculture job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $77,355 per year, or $37.2 per hour.

Geospatial Senior Subject Matter Expert

Electrosoft

Arlington, VA

Full-time

Posted 16 days ago

Job description

Geospatial Senior Subject Matter Expert

Responsibilities and Duties

  • Serve as the senior technical authority and trusted advisor for Geospatial Support programs, initiatives, and enterprise capabilities.
  • Provide strategic guidance and subject matter expertise on geospatial technologies, Geographic Information Systems (GIS), geospatial analytics, and location-based data services.
  • Advise program leadership, stakeholders, and technical teams on geospatial strategies, modernization efforts, and technology roadmaps.
  • Lead the assessment, planning, and implementation of geospatial solutions supporting mission and operational objectives.
  • Evaluate existing geospatial systems, applications, and business processes and recommend improvements that enhance operational efficiency and decision-making.
  • Support the integration of geospatial capabilities with enterprise applications, cloud platforms, data repositories, and analytic environments.
  • Provide expertise in geospatial data management, data governance, metadata standards, and data quality assurance practices.
  • Guide the development and implementation of geospatial architecture, technical standards, and best practices.
  • Support the design and deployment of geospatial visualization tools, dashboards, maps, and reporting capabilities.
  • Collaborate with business stakeholders, engineers, developers, data analysts, and program managers to ensure alignment between geospatial solutions and mission requirements.
  • Support enterprise modernization and digital transformation initiatives through the effective use of geospatial technologies.
  • Conduct technical reviews, architecture assessments, and solution evaluations for geospatial systems and applications.
  • Identify emerging geospatial technologies and industry trends and provide recommendations for adoption and implementation.
  • Support project planning, risk management, requirements development, and strategic decision-making activities.
  • Assist with the development of policies, procedures, governance frameworks, and operational guidance related to geospatial services.
  • Provide technical oversight for geospatial data collection, processing, analysis, visualization, and dissemination activities.
  • Develop executive briefings, white papers, technical reports, and strategic recommendations for senior leadership.
  • Mentor technical personnel and provide guidance on geospatial methodologies, tools, and best practices.
  • Support compliance with organizational, federal, and industry standards applicable to geospatial programs and data management.
  • Facilitate collaboration among federal stakeholders, technical teams, and external partners to advance geospatial capabilities and mission outcomes.

Basic Qualifications

  • Master's degree in Geographic Information Systems (GIS), Geography, Geospatial Science, Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
  • Minimum of ten (10) years of experience supporting IT programs, systems, or technology initiatives, including significant experience in geospatial support environments.
  • Demonstrated expertise in geospatial technologies, GIS platforms, spatial analysis, and geospatial data management.
  • Experience supporting enterprise geospatial programs and integrating geospatial solutions with business and operational systems.
  • Knowledge of geospatial data standards, metadata management, and data governance principles.
  • Experience developing geospatial strategies, roadmaps, technical recommendations, and architecture guidance.
  • Familiarity with cloud-based geospatial services and enterprise technology environments.
  • Strong analytical, problem-solving, and strategic planning skills.
  • Experience communicating complex technical concepts to executive leadership and non-technical stakeholders.
  • Excellent written, verbal, and presentation communication skills.
  • Ability to lead cross-functional teams and influence stakeholders across multiple organizational levels.
  • U.S. Citizen and ability to get the clearance.

Preferred Qualifications

  • Experience supporting Department of Homeland Security (DHS), Cybersecurity and Infrastructure Security Agency (CISA), or other Federal Government geospatial programs.
  • Hands-on experience with Esri ArcGIS Enterprise, ArcGIS Online, ArcGIS Pro, QGIS, or equivalent GIS platforms.
  • Experience supporting geospatial analytics, location intelligence, and spatial data visualization initiatives.
  • Knowledge of Federal Geographic Data Committee (FGDC) standards and National Spatial Data Infrastructure (NSDI) frameworks.
  • Experience with cloud-based geospatial solutions in Microsoft Azure, AWS, or Google Cloud environments.
  • Familiarity with geospatial databases, spatial ETL tools, and geospatial web services.
  • Experience supporting emergency management, critical infrastructure, cybersecurity, public safety, or mission-support geospatial operations.
  • Project Management Professional (PMP), GISP (GIS Professional), Esri Technical Certification, AWS, Azure, or equivalent certifications.

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