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Gis Machine Learning Jobs in West Virginia (NOW HIRING)

Govcio LLC

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

Proactively research and recommend emerging AI, machine learning, and advanced analytics ... Familiarity with geospatial data analysis (GIS) and integrating spatial modeling into enterprise ...

All JobsGis Machine Learning JobsGis Machine Learning Jobs in West Virginia

Gis Machine Learning information

What is a GIS Machine Learning job?

GIS Machine Learning jobs involve applying machine learning techniques to geographic information systems (GIS) data to analyze spatial patterns, make predictions, and solve complex geospatial problems. Professionals in this field use algorithms and models to process location-based data, automate mapping tasks, and extract insights from satellite imagery or sensor data. These roles often require skills in programming, data analysis, and an understanding of both GIS principles and machine learning methodologies. GIS Machine Learning specialists can work in industries like urban planning, environmental monitoring, agriculture, and disaster management.

What are common challenges when integrating machine learning models with GIS data, and how can they be addressed?

One common challenge in GIS machine learning roles is handling the complexity and diversity of spatial data, which often comes in various formats and resolutions. Ensuring data quality and alignment is crucial, as inconsistencies can negatively impact model performance. Another challenge is computational efficiency, since spatial datasets can be very large. Collaboration with data engineers and GIS analysts is often necessary to preprocess data effectively and optimize workflows. Staying updated with advancements in geospatial libraries and cloud-based solutions can help address these challenges.

What are the key skills and qualifications needed to thrive as a GIS Machine Learning specialist, and why are they important?

To thrive as a GIS Machine Learning Specialist, you need expertise in geospatial analysis, machine learning algorithms, and a background in GIS-related fields, often supported by a relevant degree. Familiarity with tools like ArcGIS, QGIS, Python, R, and libraries such as scikit-learn and TensorFlow, as well as experience with spatial databases, is crucial. Strong problem-solving, critical thinking, and effective communication skills help translate complex data into actionable insights. These abilities enable professionals to develop innovative geospatial solutions and drive informed decision-making in diverse sectors.

What is the difference between Gis Machine Learning vs GIS Analyst?

AspectGis Machine LearningGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related; knowledge of machine learningBachelor's in Geography, GIS, or related; GIS certifications often preferred
Work EnvironmentData science teams, software development, research projectsUrban planning, environmental agencies, government offices
Employer & Industry UsageTech companies, research institutions, environmental firmsGovernment agencies, consulting firms, urban planning departments
Common Search & Comparison IntentUnderstanding technical skills and data modelingAnalyzing spatial data for projects and reports

Gis Machine Learning focuses on applying machine learning techniques to spatial data, often requiring programming and data science skills. In contrast, GIS Analysts primarily work with spatial data analysis, mapping, and reporting within various industries. While both roles involve GIS, Gis Machine Learning emphasizes advanced data modeling, whereas GIS Analysts focus on spatial data management and visualization.

What are popular job titles related to Gis Machine Learning jobs in West Virginia?

For Gis Machine Learning jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Gis Machine Learning jobs in West Virginia look for?

The top searched job categories for Gis Machine Learning jobs in West Virginia are:

Gis Machine Learning jobs near you
Infographic showing various Gis Machine Learning job openings in West Virginia as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Data Scientist

Govcio LLC

Kearneysville, WV • On-site

$133K - $169K/yr

Full-time

Re-posted 18 days ago

GovCIO rating

7.5

Company rating: 7.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

109th of 224 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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