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Geospatial Data Science Agriculture Jobs in Minnesota

Cook County, MN

GIS Intern

Grand Marais, MN · On-site

$25 - $30/hr

OR a recent graduate with a degree in Geospatial Sciences, GIS, Geography, or a similar discipline. * Technical Skills : Foundational knowledge of ArcGIS Pro, ArcGIS Online, and standard spatial data ...

COOK COUNTY

GIS Intern

Grand Marais, MN · On-site

$25 - $30/hr

OR a recent graduate with a degree in Geospatial Sciences, GIS, Geography, or a similar discipline. * Technical Skills : Foundational knowledge of ArcGIS Pro, ArcGIS Online, and standard spatial data ...

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Geospatial Data Science Agriculture information

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.

What are popular job titles related to Geospatial Data Science Agriculture jobs in Minnesota?

For Geospatial Data Science Agriculture jobs in Minnesota, the most frequently searched job titles are:

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

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

What cities in Minnesota are hiring for Geospatial Data Science Agriculture jobs?

Cities in Minnesota with the most Geospatial Data Science Agriculture job openings:

Geospatial Data Science Agriculture jobs near you
Infographic showing various Geospatial Data Science Agriculture job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr. Director, AI & Data Science

Veracity Software Pvt. Ltd.

Wayzata, MN • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Veracity Software Pvt. Ltd. is seeking a visionary leader for the role of Sr. Director, AI & Data Science. This role is responsible for uncovering and enabling high-impact applications of artificial intelligence across the business, partnering with leaders to identify innovative opportunities and ensuring responsible AI practices are embedded in every initiative.
Responsibilities:
• Partners with business leaders to identify and accelerate AI opportunities through re-imagining how work is performed, embracing new and modern optimization techniques and changing the pace by which business value is realized.
• Translates complex AI capabilities into compelling business narratives, presenting to and influencing non-technical audiences and senior stakeholders to drive informed strategic decisions and foster confidence in AI-driven innovation.
• Provides strategic direction of product delivery to ensure scope, timeline and budget are prioritized and in compliance with related regulations and policies.
• Leads all aspects of ongoing efforts to guide and improve artificial intelligence and data science design & development practices, champions a culture of innovation and continuous improvement within the organization and partners with key team members to drive artificial intelligence literacy and adoption.
• Develops and sponsors a community of practice of global data scientists to drive reuse, awareness and alignment to further the company's adoption and value through analytics solutions.
• Presents and sells artificial intelligence solutions to non-technical audiences to influence strategic related decisions.
• Accountable for delivering measurable business outcomes from artificial intelligence investments, with responsibility for handling a significant budget and achieving defined value impact targets.
• Builds strategic partnerships and alliances with key business and industry entities to achieve organizational objectives and improve the value of investments.
• Manages team members to achieve organization goals, provides technical coaching & guidance, drives accountability for high performance and develops and sustains an environment for data scientists to thrive in an inclusive culture.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor's degree in data science, computer science, math, engineering or related field or equivalent experience
• Minimum of eight years of related work experience
• Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning
• Confirmed ability to present to non-technical audiences
Preferred:
• Master's degree or PhD in data science, computer science, math, engineering or related field
• Five years of experience leading teams
• Experience driving analytics adoption and mobilizing business transformation through AI adoption
• Broad expertise of business processes and functions
• Proficient in communicating to senior executives on opportunity and value, relating to the audience at hand
• Experience working with continuous integration and delivery (CI/CD) pipelines
• Experience working with distributed computing frameworks
• Experience working with AWS
• Experience in software development environment and code management or versioning
• Experience in agriculture
Company:
At Veracity, if you have an idea you want to validate, a product you need to build, or an existing product that needs optimization, our teams are trained to jump in wherever needed. Founded in 2010, the company is headquartered in Iselin, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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