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Geospatial Data Science Intern Jobs in Shepherdstown, WV

Govcio LLC

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

... Science credentials). * Familiarity with geospatial data analysis (GIS) and integrating spatial modeling into enterprise decision-support applications. * Understanding of secure MLOps practices ...

FTI Consulting

2027 Intern - Technology

Frederick, MD · On-site

$15 - $20/hr

Technology Intern Our technology interns work with corporations, governments and law firms to meet ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

New

FTI Consulting

2027 Intern - Technology

Hagerstown, MD · On-site

$14 - $18.75/hr

Technology Intern Our technology interns work with corporations, governments and law firms to meet ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

New

Govcio LLC

Journeyman Systems Engineer

Kearneysville, WV · On-site

$94K - $120K/yr

... data science tools. * Configure and manage enterprise API frameworks and geospatial services (GIS) to enable seamless data integration and communication across domains. * Implement and maintain ...

GDH

Data Governance Specialist

Kearneysville, WV · On-site

$63 - $68/hr

Role Summary A senior data scientist is responsible for leading the development and integration of ... geospatial services, and network boundaries. * This position requires eligibility for a U.S.

Reli Group Inc

Power BI Intern

Hagerstown, MD · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

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Geospatial Data Science Intern information

See Shepherdstown, WV salary details

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How much do geospatial data science intern jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for geospatial data science intern in Shepherdstown, WV is $17.99, according to ZipRecruiter salary data. Most workers in this role earn between $13.85 and $19.62 per hour, depending on experience, location, and employer.

What is a geospatial data science intern?

A Geospatial Data Science Intern helps analyze and interpret spatial data using GIS, statistical methods, and machine learning. They work with mapping tools, databases, and coding languages like Python or R to extract insights from geographic information. Interns may assist in data collection, visualization, and model development for applications in urban planning, environmental science, transportation, and more. This role provides hands-on experience with geospatial technologies and real-world problem-solving.

What types of projects or tasks can a geospatial data science intern expect to work on?

As a Geospatial Data Science Intern, you may assist with tasks such as cleaning, analyzing, and visualizing geospatial datasets, creating maps and spatial models, or developing scripts to automate data processing workflows. Interns often support research projects related to urban planning, environmental analysis, logistics, or public health, depending on the industry and team focus. You'll likely work closely with a mix of data scientists, GIS analysts, and subject matter experts, gaining exposure to real-world applications of spatial data. This hands-on project work can help build your portfolio and provide valuable experience that supports future career growth in geospatial science and analytics.

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

To thrive as a Geospatial Data Science Intern, you need a background in data science, spatial analysis, and GIS concepts, ideally supported by coursework or a degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, Python, SQL, and data visualization platforms is commonly expected, while knowledge of remote sensing or geospatial databases is a plus. Problem-solving abilities, attention to detail, and strong communication skills help interns excel in collaborative, project-driven environments. These skills are crucial for effectively analyzing spatial data and successfully contributing to innovative geospatial solutions.

Geospatial Data Science Intern jobs near you
Infographic showing various Geospatial Data Science Intern job openings in Shepherdstown, WV as of August 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $37,421 per year, or $18 per hour.

Senior Data Scientist

Govcio LLC

Kearneysville, WV • On-site

$133K - $169K/yr

Full-time

Re-posted 24 days ago

GovCIO rating

7.5

Company rating: 7.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

110th of 225 rated it services

Job description

GovCIO is seeking a Senior Data Scientist to support a critical government computer system for the U.S. Coast Guard (USCG) Data & AI Integration Team. This role is primarily responsible for integrating AI/ML models, developing robust data pipelines, and implementing enterprise-level data management within the Data & AI Governance framework. This position will be located in Kearneysville, WV, and will be a hybrid position.
Responsibilities
As a Senior Data Scientist, you will serve as a primary technical resource and force multiplier for providing advanced analytical services and technical leadership across the Coast Guard's mission domains. You will design, build, and sustain shared data platforms to transform raw data into operational intelligence. Key responsibilities include:
  • Design, build, and integrate advanced AI/ML models and statistical algorithms into shared data platforms to enable data-driven decision dominance.
  • Develop and optimize robust data pipelines, automated ETL/ELT workflows, and analytical services to process enterprise-level data for operational use.
  • Enforce data governance standards, data management policies, and security controls across all integrated data assets and analytical models.
  • Deliver centralized, secure, and reusable data products that empower Product Teams to build interoperable, decision-support applications.
  • Provide technical leadership and architectural guidance to accelerate secure modernization, reduce technical debt, and ensure system resilience.
  • Collaborate with cross-functional teams, port authorities, and commercial partners to enable seamless data sharing, integration, and interoperability.
  • Proactively research and recommend emerging AI, machine learning, and advanced analytics technologies to support Force Design 2028 objectives.
  • Ensure all automated models and data services strictly comply with federal security standards, government baselines, and DISA STIGs.

Qualifications
High School with 9+ years (or commensurate experience)
Required Skills & Experience
  • DoD 8570 IAT Level II certification (Security+ CE, CySA+, CCNA Security).
  • Experience developing, training, and deploying enterprise-level machine learning models and data science solutions using Python.
  • Proven experience building and maintaining large-scale data pipelines, API frameworks, or cloud-based analytical environments.
  • Comprehensive operational understanding of data governance practices, data architecture principles, and secure data management.
  • Strong experience utilizing advanced database languages (such as SQL) and modern big data technologies to manipulate complex datasets.
  • Proficiency tracking, managing, and documenting analytical workflows within enterprise environments using tools like Jira or Azure DevOps.
  • Strong foundational understanding of diverse IT domains including enterprise virtualization, cloud architecture, geospatial services, and network boundaries.

Clearance Required: Active Secret Clearance
Preferred Skills & Experience
  • Experience supporting U.S. Coast Guard, Department of Homeland Security (DHS), or federal maritime mission programs.
  • Familiarity with USCG Force Design 2028 objectives or PEO C5I enterprise data environments.
  • Relevant professional certifications highly preferred (e.g., AWS Certified Data Analytics, Azure Data Scientist Associate, or Python/Data Science credentials).
  • Familiarity with geospatial data analysis (GIS) and integrating spatial modeling into enterprise decision-support applications.
  • Understanding of secure MLOps practices, containerized model deployment (Kubernetes/Docker), and automated AI/ML security gating.

#JP #USCG #DICE
Posted Salary Range
USD $133,000.00 - USD $169,000.00 /Yr.

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