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Arcgis Machine Learning Jobs (NOW HIRING)

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$100 - $125/hr

Experience with GIS tools such as QGIS, ArcGIS, or equivalent * Solid understanding of coordinate reference systems (CRS), projections, and spatial indexing * Experience applying machine learning ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$123K - $202K/yr

... the ArcGIS platform. In this role, you will design and develop the software used by a large ... Develop Python-based machine learning components that enhance how users assess, understand, and ...

ManTech

Senior Exploitation Specialist

Washington, DC · On-site

$114K - $190K/yr

Strong working knowledge and hands-on experience with Esri solutions such as Esri ArcGIS Pro ... Experience applying artificial intelligence and machine learning (AI/ML) techniques to structured ...

WGI

Intern - Geospatial AI Fall 2026

Huntsville, AL · On-site

$16.50 - $21.50/hr

Familiarity with GIS platforms such as ArcGIS Pro, QGIS, or similar * Experience working with geospatial data libraries (e.g., GDAL, rasterio, geopandas) * Exposure to machine learning libraries such ...

WGI

Intern - Geospatial AI Fall 2026

Huntsville, AL · On-site

$16.50 - $21.50/hr

Familiarity with GIS platforms such as ArcGIS Pro, QGIS, or similar * Experience working with geospatial data libraries (e.g., GDAL, rasterio, geopandas) * Exposure to machine learning libraries such ...

AITHERAS, LLC

Performance/Data Analyst III

Washington, DC · On-site

$100K - $120K/yr

This role leads advanced analytics, machine learning modeling, network analysis, ETL development ... ArcGIS, or cloud analytics platforms. Tools / Technologies Python, R, SQL, Tableau, Excel, DOJ MIS ...

WGI

Intern - Geospatial AI Fall 2026

Huntsville, AL · On-site

$16.50 - $21.50/hr

Familiarity with GIS platforms such as ArcGIS Pro, QGIS, or similar * Experience working with geospatial data libraries (e.g., GDAL, rasterio, geopandas) * Exposure to machine learning libraries such ...

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How much do arcgis machine learning jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for arcgis machine learning in the United States is $21.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $22.84 per hour, depending on experience, location, and employer.

What is ArcGIS Machine Learning?

ArcGIS Machine Learning refers to the integration of machine learning techniques with ArcGIS, Esri's geographic information system software. It enables users to analyze spatial data, identify patterns, and make predictions using tools like classification, clustering, and regression within the ArcGIS platform. These capabilities help solve complex geographic problems in fields such as urban planning, environmental science, and resource management. ArcGIS provides both built-in machine learning tools and supports integration with open-source frameworks like scikit-learn and TensorFlow.

What are the key skills and qualifications needed to thrive as an ArcGIS Machine Learning specialist?

To thrive in ArcGIS Machine Learning, you need expertise in geographic information systems (GIS), spatial analysis, data science, and a background in computer science, statistics, or geography. Familiarity with ArcGIS software, Python programming, and machine learning libraries such as scikit-learn or TensorFlow is typically required, along with certifications like Esri Technical Certification. Strong problem-solving skills, attention to detail, and effective communication enable you to interpret complex spatial data and convey insights to diverse stakeholders. These skills are essential for leveraging geospatial data to generate actionable intelligence and support data-driven decision-making.

How do ArcGIS Machine Learning professionals typically collaborate with GIS analysts and data scientists within a project team?

ArcGIS Machine Learning professionals often work closely with GIS analysts to prepare and preprocess spatial data, ensuring datasets are clean and relevant for modeling. They also partner with data scientists to design, implement, and validate machine learning algorithms tailored to geospatial problems, such as predictive mapping or spatial pattern detection. Regular collaboration occurs through project meetings, code reviews, and joint presentations to stakeholders, fostering a multidisciplinary approach that leverages both spatial expertise and advanced analytics. This teamwork ensures solutions are both scientifically robust and operationally effective.

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

AspectArcgis Machine LearningGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related field; knowledge of machine learningBachelor's in Geography, GIS, or related field; GIS certifications often preferred
Work EnvironmentData science teams, GIS departments, tech-focused projectsUrban planning, environmental management, mapping projects
Industry UsageAdvanced spatial data analysis, predictive modelingMapping, data management, spatial analysis
Common Search/ComparisonYesYes

Arcgis Machine Learning specialists focus on applying machine learning algorithms to spatial data for predictive insights, often working with large datasets and programming. GIS Analysts perform spatial data analysis, mapping, and data management, typically using GIS software. While both roles require GIS knowledge, Arcgis Machine Learning emphasizes data science and programming skills, whereas GIS Analysts focus on spatial analysis and visualization.

What other helpful pages are available for Arcgis Machine Learning?

Other pages related to Arcgis Machine Learning:

Infographic showing various Arcgis Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.

Senior Exploitation Specialist (Data Scientist)

Arlington, VA • On-site

Elder Research
Computing Infrastructure Providers, Data Processing, Web Hosting • 51 - 200 employees
Learn more about Elder Researchexternal

Full-time

Re-posted 28 days ago

Job description

Senior Exploitation Specialist (Data Scientist)

General Information

Requisition #691

Locations USA-DC

Posting Date 04/28/2026

Security Clearance Required - TS/SCI + CI Poly

Remote Type N/A

Time Type Full time

Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Senior Exploitation Specialist (Data Scientist) to join our team in the DC Metro Area.

Minimum Qualifications:

  • 10+ years of relevant experience in data science, advanced analytics, machine learning, data visualization, or business analytics. Certifications and technical training may be used to substitute some years of experience.
  • Strong working knowledge and hands-on experience with Esri solutions such as Esri ArcGIS Pro, ArcGIS Online, and secure enterprise Esri portals such as Safehouse and ICGIS.
  • Senior-level proficiency in Python and its data science and visualization ecosystem (e.g., Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh,etc.)
  • Experience supporting Intelligence Community operations.
  • Demonstrated experience creating highly customized visualizations and analytic applications to meet unique business requirements.
  • Demonstrated experience automating analytic and business processes using Python.
  • Experience applying artificial intelligence and machine learning (AI/ML) techniques to structured and unstructured datasets.
  • Knowledge of and implementation experience with advanced analytic methodologies.
  • Strong written and verbal communication skills with the ability to explain complex technical concepts in a clear and understandable manner.

Clearance Requirements:

  • Must have an active TS/SCI + CI Poly

Physical Requirements:

  • The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.