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Arcgis Machine Learning Jobs (NOW HIRING)

BAE Systems

INTEL ANALYST

Fort Belvoir, VA · On-site

... GXP, ArcGIS, QGIS, RemoteView, ERDAS IMAGINE, ENVI, Google Earth. * Attended a certified imagery schoolhouse or the Geospatial Intelligence Training Program. * Experience with Machine Learning ...

Diamondback Energy

Data Science Geologist

Midland, TX · On-site

Experience with GIS tools such as ArcGIS or QGIS, and/or 3D subsurface modeling software (e.g., Petrel) * Strong understanding of machine learning techniques (clustering, regression, anomaly ...

Ferrovial

IT Solutions Lead

The Woodlands, TX · On-site

Support the research and implementation of Machine Learning and AI capabilities within the organization * Lead development of GIS-based applications using Esri ArcGIS to support business operations

Ferrovial

IT Solutions Lead

The Woodlands, TX · On-site

Support the research and implementation of Machine Learning and AI capabilities within the organization * Lead development of GIS-based applications using Esri ArcGIS to support business operations

Ferrovial

IT Solutions Lead

Irving, TX · On-site

Support the research and implementation of Machine Learning and AI capabilities within the organization * Lead development of GIS-based applications using Esri ArcGIS to support business operations

Quiet Professionals LLC

Project Manager

Tampa, FL · On-site

... machine learning governance, and metadata management initiatives align with mission requirements ... Python, R, SQL/NoSQL, PostgreSQL, and ESRI (ArcGIS/ArcPy). Required Skills and Competencies

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How much do arcgis machine learning jobs pay per hour?

As of Jun 8, 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 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 are the key skills and qualifications needed to thrive as an ArcGIS Machine Learning Specialist, and why are they important?

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.

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.

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.
Data Scientist (Mid/Senior) - TS/SCI

Data Scientist (Mid/Senior) - TS/SCI

Wiser

Springfield, VA • On-site

$85K - $140K/yr

Full-time

Posted 14 days ago

Job description

Data Scientist - TS/SCI Cleared
Location: Springfield, VA
Required Clearance: Top Secret/SCI Security Clearance
Wiser offers innovative solutions to clients in the public, private, and government sectors. We combine technology and expertise to develop inventive solutions that deliver quality results and aid in critical decision making. With the flexibility and efficiency of a small business, we provide nimble responsiveness with the low risk and strong performance experience of an established GEOINT and Geospatial service provider.
Minimum Qualifications
  • U.S. Citizen
  • Active Top-Secret/SCI security clearance at time of application and willingness to complete a CI poly upon request.
  • 3-10 years of programming skills with the ability to write / maintain scripts, including Python and JAVA scripts and familiarity of querying with SQL.
  • Advanced knowledge in data science, including the areas of data services, modeling, and analytics.
  • Advanced knowledge of geospatial data management including data type conversion; coordinate systems (latitude and longitude, UTM) and their conversions; and knowledge of projections and their properties / conversions.
  • Minimum 2 years of experience working with data quality control tools including ArcGIS Data ReViewer.
  • Proficient with ESRI Workflow Manager WMX and TAM.
  • Senior candidates require additional experience with artificial intelligence, natural language processing, machine-to-machine learning, and NoSQL including document and graph schemas, ontologies, OWL, and data base inferencing.

Desired Qualifications
  • Experience with combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photogrammetry, and digital data formats.
  • Ability to clean / prune data to discard irrelevant information
  • Ability to examine data from a variety of angles to determine hidden value, weaknesses, trends, and/or opportunities
  • Advanced knowledge of ESRI ArcGIS and ArcServer
  • Knowledge of database systems and architecture (ORACLE, PostgresEQL, NoSEL (MongoDB), Microsoft Access)
  • Ability writing SQL (and NoSQL for senior candidates)
  • Understanding cloud architecture, infrastructure, services (including geospatial specific microservices), and DevOps
  • Knowledge of symbolization rules (how symbols are used to portray features)
  • Knowledge of generalization rules
  • Experience working with geospatial data in a multi-user enterprise environment (i.e., versioning data)
  • Knowledge of artificial intelligence, natural language processing, and machine-to-machine learning
  • Knowledge of Metrics dissemination
  • Ability to convert unstructured data into structured data
  • Proficient in MS Outlook, Word, PowerPoint, Access, and Excel
  • Senior candidates may have additional knowledge of Data Warehousing, Data Mining, Predictive Modeling, Data Integrity / Security, Data Anomaly Detection, Statistical Analysis, S-57 data structure, specifications, validation, and the ability to produce ENC and AML, use of ECDIS display systems

Work Environment
Work is within a team environment and will be conducted on site in Springfield, VA.
*Candidates are encouraged to submit a resume that explicitly addresses each of the requirements listed above.
Wiser Imagery Services employs personnel within the states of Alabama, Florida, Georgia, Illinois, Indiana, Maryland, Missouri, North Carolina, North Dakota, Ohio, Pennsylvania, Tennessee, Texas, Virginia, and West Virginia.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
To comply with Federal law, Wiser Imagery Services participates in E-Verify. Successful candidates must pass the E-Verify process upon hire.
Wiser Imagery Services is a drug-free workplace.
We respectfully request not to be contacted by recruiters and/or staffing agencies.

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