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Geospatial Data Science Agriculture Jobs (NOW HIRING)

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Use a range of data visualization tools and data science techniques to support the translation of ... Experience processing geospatial data in the Cloud About Lynker Lynker is a growing, employee owned ...

Senior Geospatial Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

... Science, Data Science, Engineering, or a related technical discipline. • 12+ years of ... geospatial technology, software development, data engineering, data analysis, or a related ...

Demonstrated experience and proficiency with data science techniques including (but not limited to ... Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing ...

Senior Geospatial Data Engineer

Mclean, VA

$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 ...

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Geospatial Data Science Agriculture information

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$62.5K

$77.4K

$92.5K

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

As of Jul 26, 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.

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 are the key skills and qualifications needed to thrive as a Geospatial Data Science Agriculture professional, and why are they important?

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.

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.

What is Geospatial Data Science in 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.
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:
Infographic showing various Geospatial Data Science Agriculture job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $77,355 per year, or $37.2 per hour.
Geospatial Data Scientist with Security Clearance

Geospatial Data Scientist with Security Clearance

MITRE Corporation

Fairfax, VA • On-site

Other

Posted 28 days ago


MITRE Corporation rating

8.2

Company rating: 8.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

154th of 442 rated engineering


Job description

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. Department Summary: MITRE's Model-Based Analytics Department (L144) is looking for qualified applicants to bring their geospatial, machine learning, advanced analytics, and applied research skills to bear on solving problems of critical national importance. MITRE's diverse work program provides opportunities to apply your expertise and creative thinking in challenging domains such as healthcare, transportation, and national security. Employees may also participate in MITRE's internal research and development program, which provides funding for innovative applied research that addresses our sponsors' hardest problems. Our department is an interdisciplinary department that thrives on having a large toolbox to support data- and model-driven decision making. We value people who can bring diverse and inclusive perspectives. Our department works to solve modeling and analytic problems in the public interest, in partnership with the government. We also actively conduct independent research in areas of interest to our government partners. If you are passionate about being a Data Scientist that specializes in Geospatial Information Sciences, your skill sets align with our capabilities, and you like working in a collaborative, team-oriented environment, we want to hear from you! Roles & Responsibilities: The successful candidate for this position is a geospatial data scientist who combines a solid theoretical and technical background with the ability to formulate problems, develop and evaluate solutions, and communicate results. Familiarity with advanced geospatial data science, modeling, and analysis techniques and methods (e.g., supervised and unsupervised machine learning, GeoAI, Geosimulation, patiotemporal graphs) is a plus. Hands-on software development skills are a must. Candidates should have a strong understanding of how to engineer spatial solutions for geospatial systems and architecture in both traditional and cloud computing environments. Lifelong learning and keeping up with the latest research and technologies is an essential part of working in this field. Roles and responsibilities include: * Support the development of geospatial data science, modeling, analysis, visualization, and engineering deliverables for sponsor projects and programs, internal research and development, and corporate strategic initiatives.
* Remain current on open-source, industry, academia, and US Government techniques and tools for geospatial data science, modeling, analysis, visualization, and engineering.
* Apply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.
* Build and test geospatial prototypes in MITRE, government, and commercial cloud environments. Basic Qualifications: * Bachelor's degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related degree.
* Minimum of 5 years of experience with a bachelor's degree or 3 years of experience with a master's degree, or a PhD with relevant hands-on experience using Geospatial data science techniques.
* Top Secret clearance
* Applied experience with common GIS tools, developing geospatial workflows, and visualizations using Python.
* Applied experience in spatial analysis and modeling, and ETL of spatiotemporal datasets and managing spatial databases.
* Applied experience in the configuration of web-mapping, dashboard applications, and remotely sensed data.
* Familiarity with geostatistics, spatial machine learning, geosimulation, or GeoAI, and multispectral and hyperspectral imagery or synthetic aperture radar.
* Familiarity working with spatiotemporal data in graph databases, such as ArcGIS Knowledge, Neo4j, or ArangoDB.
* Familiarity developing web applications with common libraries, e.g. OpenLayers, Leaflet, ArcGIS JS API.
* Familiarity with geospatial data architectures and spatial database design and management, as well as containerization concepts.
* This position requires a minimum of 50% hybrid on-site.
* Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance. Preferred Qualifications: * Active TS/SCI with polygraph.
* Advanced degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related technical discipline.
* Minimum of 8 years of experience with a bachelor's degree or 5 years of experience with a master's degree, or 3 years of hands-on relevant experience using Geospatial data science techniques with a PhD.
* Experience leading technical development tasks across multi-disciplinary teams. * Applied experience with other software development languages, e.g., C++, Java, C#, JavaScript.
* Applied experience with spatiotemporal big data technologies, e.g., GeoMesa, GeoTrellis, Data Bricks, or GeoSpark (Apache Sedona).
* Applied experience with data architecture containerization concepts, e.g. Docker or Kubernetes.
* Applied experience working with remotely sensed data to include aerial and satellite imagery, multi- and hyper-spectral imagery, LiDAR, or synthetic aperture radar.
* Applied experience with applying spatial modeling and analysis techniques to the atmospheric, climate, marine, oceanic, hydrologic, geomorphologic, critical infrastructure, transportation, network, telemetry, or terrain domains.
* Experience leading or conducting research.
* Experience designing geospatial data science tasking and/or leading a team of geospatial data scientists.
* Applied experience with developing web applications with common libraries, e.g. OpenLayers, Leaflet, ArcGIS JS API. * Familiarity implementing DevSecOps, DataOps, or MLOps in application development. This requisition requires the candidate to have a minimum of the following clearance(s):
Top Secret This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Top Secret Salary compensation range and midpoint:
$124,400 - $155,500 - $186,600 Annual Work Location Type:
Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email for general support and for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here . Copyright © 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

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Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us. MITRE is a trusted operator of federally funded research and development centers and we're on a mission to make the world a safer place-for all of humanity, today and in the future. To deliver on our mission, we need the world's best talent and leaders-groundbreakers and partnership-builders on a global scale in areas like healthcare, artificial intelligence, critical infrastructure resiliency, pandemic management, and cybersecurity. In return, we have the privilege of backing you with thousands of technical experts in diverse fields, a culture of innovation and knowledge sharing, access to data and resources uniquely available to MITRE through our wide-ranging partnerships across government, industry and academia.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1958

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