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Internship Geospatial Data Scientist Jobs in Ohio

You will be part of a collaborative group of GIS Specialists and Data Services professionals who ... Bachelors' degree or equivalent in GIS, Geography, Geoscience, Environmental Science, or related ...

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 ...

You must be available during the summer of 2027 for a 12 week internship from mid/late May through early August. * Currently pursuing a Master's in Data Science, Statistics, Applied Mathematics ...

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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 ...

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Internship Geospatial Data Scientist information

What is an internship geospatial data scientist?

An Internship Geospatial Data Scientist is a student or recent graduate who assists in analyzing and interpreting geographic data using advanced computational and statistical methods. They work with spatial datasets, use GIS (Geographic Information Systems) software, and may help develop models to solve real-world problems involving locations and spatial relationships. This internship provides hands-on experience in data analysis, mapping, and programming, preparing individuals for a career in geospatial science or data analytics.

What types of projects can an internship geospatial data scientist expect to work on, and how do these contribute to the organization's goals?

As an Internship Geospatial Data Scientist, you can expect to work on projects involving spatial data analysis, map creation, and data visualization using tools like GIS software and Python or R. These projects often support decision-making in areas such as urban planning, environmental monitoring, or logistics optimization. Interns typically assist in cleaning and processing large spatial datasets, developing models, and presenting findings to team members. Your contributions help inform strategic initiatives and provide actionable insights, offering valuable experience and exposure to real-world geospatial challenges.

What are the key skills and qualifications needed to thrive as an internship geospatial data scientist, and why are they important?

To thrive as an Internship Geospatial Data Scientist, you need a solid understanding of GIS concepts, spatial analysis, and proficiency in programming languages like Python or R, often supported by coursework or a background in geography, computer science, or related fields. Familiarity with tools such as ArcGIS, QGIS, remote sensing platforms, and data visualization software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret spatial data and collaborate with interdisciplinary teams. These abilities are crucial for delivering actionable geospatial insights and supporting data-driven decision-making within organizations.

What is the difference between Internship Geospatial Data Scientist vs Geospatial Data Analyst?

AspectInternship Geospatial Data ScientistGeospatial Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., GIS, Data Science)Similar educational background, often with additional certifications in GIS or analytics
Work EnvironmentInternship setting, often in tech, government, or environmental firmsFull-time or part-time roles in various industries like urban planning, environmental agencies
Employer & Industry UsageUsed by organizations seeking entry-level talent for geospatial projectsCommon in industries requiring spatial data analysis for decision-making

The Internship Geospatial Data Scientist is an entry-level role focused on learning and supporting geospatial data projects, often within a structured internship program. In contrast, a Geospatial Data Analyst is a more established position involving ongoing data analysis, reporting, and decision support. Both roles require similar educational backgrounds, but the internship is temporary and geared toward gaining experience, while the analyst role is typically permanent and more autonomous.

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 cities in Ohio are hiring for Internship Geospatial Data Scientist jobs?

Cities in Ohio with the most Internship Geospatial Data Scientist job openings:

Data Scientist - Innovation & Digital Factory

FirstEnergy

Akron, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago


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


What FirstEnergy employees say

Pay

Benefits

Hours and flexibility

Workplace

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