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Geospatial Data Science Agriculture Jobs (NOW HIRING)

Senior Geospatial Data Scientist

Mclean, VA ยท On-site

$140K - $187K/yr

Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights * Create maps, visualizations, and analytic products for technical and non-technical audiences

Data Scientist

Juno Beach, FL ยท Remote

$70 - $90/hr

Geospatial/GIS Specialist with a data science background (must have strong background in Geospatial and ESRI tools/platform for creation of products; ARC GIS Enterprise *Best candidates will have ...

Data Scientist

Juno Beach, FL ยท On-site

$70 - $90/hr

Geospatial/GIS Specialist with a data science background (must have strong background in Geospatial and ESRI tools/platform for creation of products; ARC GIS Enterprise *Best candidates will have ...

New

Senior Geospatial Data Scientist

Mclean, VA ยท On-site

$140K - $187K/yr

Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights * Create maps, visualizations, and analytic products for technical and non-technical audiences

Senior Geospatial Data Scientist

Mclean, VA ยท On-site

$140K - $187K/yr

Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights * Create maps, visualizations, and analytic products for technical and non-technical audiences

Senior Geospatial Data Engineer

Mclean, VA ยท On-site

$117K - $141K/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 ...

... 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 ...

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

NY ยท On-site

$100 - $150/hr

Undergraduate degree in Data Science, Statistics, Mathematics, Economics, Computer Science ... Geospatial Data Analysis * Communication Skills ATS Optimization Keywords Hard Skills * Data ...

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 ...

... and entering geospatial data into Acres. The data science team at Acres is team-oriented ... Curiosity and eagerness for exploring and understanding agricultural land transactions * Critical ...

Senior Geospatial Data Engineer - Vantor

Mclean, VA ยท On-site

$117K - $141K/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 ...

Sr. Data Scientist

Indianapolis, IN ยท On-site

$110.21 - $121.23/hr

Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed WHAT YOU BRING * 3-6 years of experience in data science, GIS, or a related field * Strong proficiency in ...

Showing results 21-40

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 20, 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:

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.

Senior Geospatial Data Scientist

Maxar

Mclean, VA โ€ข On-site

$140K - $187K/yr

Full-time

Retirement

Posted 7 days ago


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level with required polygraph.

Our team has an immediate need for an experienced Geospatial Data Scientist to join our team at a customer-site in McLean, VA. The candidate will support gathering project requirements from the customer and implementing data-driven solutions.


Responsibilities:

  • Use Python scripting and AWS services to automate geospatial data ingestion, transformation, and analysis
  • Apply geospatial data science techniques to identify patterns, trends, and mission-relevant insights
  • Create maps, visualizations, and analytic products for technical and non-technical audiences
  • Maintain high-quality, repeatable data workflows, ensuring data integrity, documentation, and performance

Minimum Qualifications:

  • Active U.S. Government Security Clearance at the TS/SCI level with required polygraph.
  • Bachelor's degree with 3+ years of relevant experience, or Master's degree with 1+ year of relevant experience
  • Strong experience using Python for geospatial data transformation, automation, and analysis
  • Strong experience working with geospatial data in thick-client GIS software (e.g., ArcGIS)
  • Experience with PostgreSQL/PostGIS, AWS services, and Linux-based environments
  • U.S. citizenship and Active TS/SCI with required polygraph
  • willingness to work on-site full time

Preferred Qualifications:

  • Experience working with Python notebooks (e.g., Jupyter) for exploratory and reproducible analysis
  • Experience integrating and consuming data via REST APIs
  • Experience with R, Tableau, or similar analytical and visualization tools
  • Experience with Apache NiFi or comparable data workflow/orchestration tools
  • Familiarity with Git for versioning scripts and analytic artifacts

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role.

The base pay for this position within the Washington, DC metropolitan area is: $140,000.00 - $187,000.00 - $205,700.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at:https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.