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Geospatial Data Scientist Jobs in Ohio (NOW HIRING)

Associate Data Scientist

Cleveland, OH · On-site

$55K - $55K/yr

Experience with statistics, geospatial analytics or business intelligence development, report ... Experience managing collaborative data science projects (Required proficiency) * Experience ...

Bachelor's degree in Data Science, Statistics, Business, Geography, Geospatial Information Systems, Computer Science, Information Systems, or a related field, or equivalent relevant experience. * 6 ...

We have already established a strong foundation in using geospatial data to assess energy needs ... A Bachelor's or Master's degree in Geography, GIS, Remote Sensing, Data Science, Energy Planning ...

We have already established a strong foundation in using geospatial data to assess energy needs ... A Bachelor's or Master's degree in Geography, GIS, Remote Sensing, Data Science, Energy Planning ...

Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ... Knowledge of geospatial intelligence (GEOINT) workflows and imagery modalities. * Familiarity with ...

Qualifications : Required : • A minimum of a Bachelor's Degree in Data Science, Statistics ... more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS ...

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

What Impact You'll Have GRVTY is looking for a Senior Scientist to support research, algorithm ... data analysis. * Experience with geospatial and exploitation tools such as ArcGIS, Google Earth ...

... Geospatial Intelligence (GEOINT). The role involves utilizing advanced GEOINT tools for data ... Science). • 6+ years demonstrated experience. • Active Top Secret Clearance with SCI ...

At NV5 Geospatial, we are a collaboration of intelligent, innovative thinkers who care for each ... Utilize advanced GEOINT tools to analyze and exploit remotely sensed data to produce and ...

Senior Scientist

Dayton, OH · On-site +1

$88K - $121K/yr

What Impact You'll Have GRVTY is looking for a Senior Scientist to support research, algorithm ... data analysis. * Experience with geospatial and exploitation tools such as ArcGIS, Google Earth ...

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Geospatial Data Scientist information

See Ohio salary details

$35.7K

$116.7K

$186.8K

How much do geospatial data scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for geospatial data scientist in Ohio is $116,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $129,300.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

A geospatial data scientist can start or transition into the field at age 40, as data science values skills, experience, and continuous learning over age. Many professionals successfully switch careers or advance in data science later in life by acquiring relevant skills such as programming, statistics, and GIS tools, and obtaining certifications if needed.

What are the typical daily tasks of a Geospatial Data Scientist?

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 in the Geospatial Data Scientist position, and why are they important?

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.

Can data scientists make $300k?

Geospatial Data Scientists with extensive experience, advanced skills in GIS tools, programming, and machine learning can potentially earn $300,000 or more, especially in high-demand industries or senior roles. However, such salaries are typically achieved through seniority, specialized expertise, or leadership positions, and are not common for entry-level or mid-career roles.

Is GIS still in demand?

Geospatial Data Scientists and GIS professionals are in high demand due to the increasing reliance on spatial data across industries such as urban planning, environmental management, and logistics. Skills in GIS software, spatial analysis, and programming languages like Python or R enhance job prospects in this field, which continues to grow with advancements in technology and data integration.

What is a Geospatial Data Scientist job?

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 does a geospatial data scientist do?

A geospatial data scientist analyzes geographic data to identify patterns, trends, and insights using tools like GIS software, programming languages such as Python or R, and spatial databases. They develop models, visualize data on maps, and support decision-making in fields like urban planning, environmental management, and transportation.
What are the most commonly searched types of Geospatial Data Scientist jobs in Ohio? The most popular types of Geospatial Data Scientist jobs in Ohio are:
What are popular job titles related to Geospatial Data Scientist jobs in Ohio? For Geospatial Data Scientist jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Scientist jobs in Ohio look for? The top searched job categories for Geospatial Data Scientist jobs in Ohio are:
What cities in Ohio are hiring for Geospatial Data Scientist jobs? Cities in Ohio with the most Geospatial Data Scientist job openings:
Infographic showing various Geospatial Data Scientist job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 10% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $116,687 per year, or $56.1 per hour.

Data Analyst Mid - GEOINT Technical SME

TULK | Swift · Wise · Counsel

Dayton, OH • On-site

Full-time

Posted 11 days ago


Job description

Job Summary:
TULK is a leading boutique consulting firm providing technology and management consulting services to the U.S. Federal Government. They are seeking a Data Analyst - GEOINT Technical SME to support geospatial intelligence, business analytics, data visualization, and mission data management activities.
Responsibilities:
• Develop data analytics, dashboards, reports, charts, graphs, and other visualizations using industry-standard data analysis and data science practices.
• Transform complex data sets from multiple sources into understandable visual products that support leadership, mission, and business decision-making.
• Collaborate with project requestors, stakeholders, subject matter experts, and project managers to refine requirements and clarify business objectives.
• Use data analytics to identify issues, draw logical conclusions, form business insights, and recommend ways to improve organizational performance and efficiency.
• Support the development, integration, maintenance, and sustainment of analytic models, visualizations, and tools.
• Support risk scoring, anomaly detection, performance monitoring, metrics tracking, and related data analysis implementations as required.
• Capture, maintain, and analyze statistics, timelines, system performance data, and other operational metrics.
• Prepare reports, briefings, dashboards, and visual summaries for internal teams, technical stakeholders, and leadership audiences.
• Support policy, process, and business operations activities by contributing data analysis, technical editing, documentation, and reporting support.
• Use scripting and automation techniques to manipulate, analyze, clean, transform, or visualize data as needed.
• Support geospatial data analysis and related GEOINT mission activities using applicable tools, data sets, and technical methods.
• Work independently and collaboratively in a dynamic environment with changing priorities and short suspense timelines.
Qualifications:
Required:
• Top Secret / SCI security clearance
• U.S. Citizenship
• Bachelor’s degree in Data Science, Statistics, Business, Geography, Geospatial Information Systems, Computer Science, Information Systems, or a related field, or equivalent relevant experience.
• 6 or more years of relevant experience developing data analytics, visualizations, analytic models, dashboards, or data-driven business products.
• Demonstrated experience using data to form business insights, draw logical conclusions, and support performance-improving strategies.
• Demonstrated experience collaborating with stakeholders to clarify project needs, business objectives, data requirements, and analytical questions.
• Experience creating and editing visual content such as charts, graphs, dashboards, and briefing materials to represent data clearly.
• At least 12 months of demonstrated experience using one or more geospatial or GEOINT-related tools such as ArcGIS, ArcView, RemoteView, ArcIMS, ERDAS Imagine, or similar geospatial analysis tools.
• Demonstrated coding or scripting experience using tools such as Python, Java, or similar languages to support data manipulation, analysis, automation, or visualization.
• Demonstrated ability to use SharePoint, Tableau, Redmine, databases, or other systems to manipulate data, manage information, and build data visualizations.
• Strong organizational and communication skills, with the ability to work effectively in a team-oriented mission environment.
• Proficiency with Microsoft Office tools, including Excel and PowerPoint.
Preferred:
• Experience supporting GEOINT, Intelligence Community, Department of Defense, or national security missions.
• Experience supporting insider threat, risk scoring, anomaly detection, or similar security-focused analytics programs.
• Experience with policy development, process improvement, business operations, or performance management initiatives.
• Experience with GEOINT analysis software, NGA mission applications, geospatial data sets, or mission reporting tools.
• Experience using Tableau, Python, SQL, GIS tools, SharePoint, or other business intelligence and data visualization platforms.
• Experience preparing executive-level briefings, technical reports, dashboards, and visual summaries for senior stakeholders.
• Experience with data quality analysis, data cleansing, data transformation, and data integration across multiple sources.
Company:
TULK llc provides Executive Management and Strategic Technology consulting to thought leaders and next-gen technology implementers within the Federal and Commercial sectors. Founded in 2013, the company is headquartered in Virginia, USA, with a team of 11-50 employees. The company is currently Early Stage.