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Geospatial Data Scientist Jobs in Minnesota (NOW HIRING)

Senior Data Scientist

Virginia, MN ยท On-site

$131.30 - $237.35/hr

As a Senior Data Scientist, you will : * Lead the design, development, and deployment of advanced ... and geospatial analytics platforms. * Contribute to the integration of AI, DevSecOps, data ...

GIS Analyst

Buffalo, MN

$33.97 - $48.23/hr

... science, or related field, and two years of experience in Geographic Information System (GIS ... geospatial data through online portals and web services; promote awareness of GIS technology ...

... cartography, data visualization, or geospatial application development * Ability to work collaboratively within a multidisciplinary team * Bachelor's degree in computer science, engineering ...

The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

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Showing results 1-20

Geospatial Data Scientist information

See Minnesota salary details

$36.7K

$120.2K

$192.5K

How much do geospatial data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for geospatial data scientist in Minnesota is $120,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $133,200.00 per year, depending on experience, location, and employer.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

What does a geospatial data scientist do?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive as a geospatial data scientist?

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

What is a geospatial data scientist?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What are the most commonly searched types of Geospatial Data Scientist jobs in Minnesota? The most popular types of Geospatial Data Scientist jobs in Minnesota are:
What are popular job titles related to Geospatial Data Scientist jobs in Minnesota? For Geospatial Data Scientist jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Scientist jobs in Minnesota look for? The top searched job categories for Geospatial Data Scientist jobs in Minnesota are:
What cities in Minnesota are hiring for Geospatial Data Scientist jobs? Cities in Minnesota with the most Geospatial Data Scientist job openings:
Infographic showing various Geospatial Data Scientist job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,211 per year, or $57.8 per hour.

Senior Data Scientist

Socket.dev

Virginia, MN โ€ข On-site

$131.30 - $237.35/hr

Other

Medical, Retirement, PTO

Posted 4 days ago


Job description

Description

Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.

Join Leidosโ€™ all-star team supporting the Defense Intelligence Agencyโ€™s Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying enterprise-scale AI, data, and mission platform capabilities across cloud, edge, and classified environments. We are looking for creative, driven, and mission-focused professionals ready to take their career to the next level.

As a Senior Data Scientist, you will:

  • Lead the design, development, and deployment of advanced analytics and AI/ML solutions for mission-critical applications.
  • Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
  • Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
  • Work with diverse data types (structured, unstructured, open source, digital media) and leverage modern tools such as Python, PyTorch, Scikit-learn, LLM frameworks, and geospatial analytics platforms.
  • Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.
  • Enjoy flexible work arrangements, including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA).

What You Bring:

  • Bachelorโ€™s, Masterโ€™s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Relevant experience may be substituted for a degree.
  • 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (10+ years with a Masterโ€™s).
  • Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
  • Proficiency in Python and at least one other scripting language.
  • Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.
  • Track record of creative problem solving, active learning, and mission-focused outcomes.
  • Familiarity with version control tools (git, svn, JIRA) and deployment technologies (Docker, Kubernetes, OpenShift).

Preferred Qualifications:

  • Experience supporting military or intelligence community customers.
  • Expertise with knowledge graphs (neo4j, graph ML), predictive algorithms, image classifiers, object detectors, information retrieval, SQL, Elastic Stack.
  • Experience deploying data science applications (e.g., Streamlit) and working with distributed systems (Hadoop, Ray, Spark).
  • Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
  • Experience with Large Language Models (LLMs), Multimodal LLMs, Langchain, vLLM, llama.cpp.

If you\'re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo โ€” because the mission demands it. We\'re not hiring followers. We\'re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We\'re already at step 30 โ€” and moving faster than anyone else dares.

Original Posting:

June 16, 2026

Pay Range:

Pay Range $131,300.00 - $237,350.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That\'s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidosโ€™ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system โ€“ never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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