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Geospatial Data Scientist Jobs in Ohio (NOW HIRING)

$140 - $190/hr

... scientific teams. You will contribute to the evolution of data-driven products using cutting-edge ML techniques, remote sensing data, and geospatial technologies. This is an ideal opportunity for an ...

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 ...

KBR's work is at the forefront of engineering, logistics, operations, science, program management ... Proficiency in geolocation techniques and experience using satellite-based geospatial data for ...

GEOINT Analyst

Beavercreek, OH · On-site

$90 - $150/hr

KBR's work is at the forefront of engineering, logistics, operations, science, program management ... Proficiency** in geolocation techniques and experience using satellite-based geospatial data for ...

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 ...

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Showing results 1-20

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 Aug 22, 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.

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 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.

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.

Is geospatial data scientist still in demand?

Yes, geospatial data scientists are in high demand due to the increasing use of geographic information systems (GIS), remote sensing, and spatial analysis across industries such as urban planning, environmental management, and transportation. The role often requires skills in programming, data analysis, and tools like Python, R, and GIS software, with strong job growth projected in the coming years.

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 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $116,687 per year, or $56.1 per hour.

Data Scientist - Innovation & Digital Factory

FirstEnergy

Akron, OH

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New


FirstEnergy rating

7.8

Company rating: 7.8 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

35th of 53 rated energy and utility


Job description

FirstEnergy at a Glance

FirstEnergy (NYSE: FE) is dedicated to safety, reliability and operational excellence. Headquartered in Akron, Ohio, FirstEnergy includes one of the nation's largest investor-owned electric systems, more than 24,000 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a generating fleet with a total capacity of more than 3,600 megawatts.

About the Opportunity

As a Data Scientist at FirstEnergy you will work with other data scientists and data engineers using machine learning, artificial intelligence, and statistical methods to answer critical questions and produce actionable insights for business units. A successful candidate will work on agile scrum squads and should be excited by digital enablement, innovation and new ideas, and have a passion for learning. The challenges FirstEnergy faces and the data that will help build solutions are physical, tangible, realities; voltages going across transformers, the soil our poles sit in, the proximity of our wires to trees. Applicants should be ready to challenge themselves to solve problems from data of varying type, quality, and source, so that our solutions have a meaningful impact on our customers and employees.

Our digital projects benefit the community by aiding in providing safe, reliable electricity to everyone:

  • Customer: create analytics to improve customer satisfaction along the customer journey for a lifetime as they move-in to a residence, pay their bill and move to new residences.
  • Transmission & Distribution: develop algorithms to detect asset failures, reduce outages and provide reliable electricity to customers. 
  • Smart Meter: provide customers with the electric usage they need to make smart decisions about their home as well as reduce threats and theft in the electric system.
  • Vegetation: Analyze geospatial data and imagery to predict, forecast, and aggregate information to support the efforts of forestry specialists to improve grid reliability.

Responsibilities include:

  • Develop Data Science products in an agile scrum squad, collaborating with Data Engineers, other Data Scientists and business stakeholders
    • Build and test machine learning algorithms, forecasting/predictive algorithms, and optimization models
    • Transform and model a variety of data such as tabular, text, streaming, geospatial and large volume
    • Perform hands-on text, quantitative, statistical, financial, and operational analysis
    • Deepen understanding of utilities structure and operations to answer the right question more effectively
    • Identify new data sources and evaluate emerging technologies for data discovery and model development
    • Collaborate with technical staff and peers to implement and deploy scalable data solutions
    • Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders 

Qualifications

  • Bachelor's degree in quantitative discipline such as Computer Science, Machine Learning, Applied Statistics, Mathematics; Masters, PhD are beneficial 

  • Experience with machine learning models such as decision trees, random forests, and neural networks and evaluation metrics like F1 score and ROC AUC

  • Experience in Python programming language, familiarity with Apache Spark beneficial

  • Experience with linear regression modelling and other statistical techniques such as t-tests, confidence intervals

  • Experience in Agile/Scrum development with DevOps methodologies geared toward rapid prototyping and piloting of cloud solutions  

  • Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields

  • Ability to guide other colleagues and lead research efforts in a cross-functional team

  • Experience in building positive relationships and working with peers cross-functionally, demonstrating teamwork and collaboration

  • Willingness to travel throughout organization and service territory and work extended hours, as required

Benefits, Compensation & Workforce Diversity

At FirstEnergy, employees are key to our success. We depend on their talents to meet the challenges of our changing business environment. We are committed to rewarding individual and team efforts through our total rewards philosophy which includes competitive pay plus incentive compensation, a company-sponsored pension plan, 401(k) savings plan with matching employer contribution, a choice of medical, prescription drug, dental, vision, and life insurance programs, as well as skills development training with tuition reimbursement. Please visit our website at www.firstenergycorp.com to learn more about all of our employee rewards programs. FirstEnergy proudly supports workforce diversity. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with a disability. No recruiters or agencies without a previously signed contract.

Unable to sponsor or transfer H-1B visas at this time.

Safety

Safety is a core value for FirstEnergy and is essential to all of our business activities. We ensure employees have the tools, information, and processes to perform their duties in a manner that assures safety for themselves, their co-workers, our customers and the public. Our goals are to provide a safe work environment, to maintain an accident-free, injury-free workplace, and to promote and maintain public safety. To meet these goals, we dedicate ourselves to achieving world-class safety standards.

Position Classification

Exempt

FirstEnergy Human Resources Team


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