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Gis Machine Learning Jobs in Virginia (NOW HIRING)

Quartermaster AI Inc

Senior Data Engineer

Arlington, VA · Hybrid

$122.10K - $165.90K/yr

Design, build, and maintain scalable batch and real-time machine learning, data science, and data ... Experience with GIS systems and geospatial data architectures. * Experience with real-time ...

Quartermaster AI Inc

Senior Data Engineer

Arlington, VA · On-site

$121.90K - $165.70K/yr

Design, build, and maintain scalable batch and real-time machine learning, data science, and data ... Experience with GIS systems and geospatial data architectures. * Experience with real-time ...

Zortech Solutions

Agentic Data Engineer

Richmond, VA

$113.30K - $136.10K/yr

... Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media Services, Azure AI Search? * Understanding of Graph DB * Experience with GIS spatial data to create ...

Zortech Solutions

Agentic Data Engineer

Richmond, VA · On-site

$113.30K - $136.10K/yr

... Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media Services, Azure AI Search? * Understanding of Graph DB * Experience with GIS spatial data to create ...

Esri

Federal Account Manager - Public Sector

Vienna, VA · On-site

$104K - $187.20K/yr

... GIS, you will apply your selling skills to address a huge transformation in technological capabilities across the public sector that includes Artificial Intelligence (AI) and Machine Learning (ML ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

... systems (GIS))or another field whose course of study involved a substantial technical or ... Large Data Modeling: machine learning, artificial intelligence, natural language processing ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

... systems (GIS)) or another field whose course of study involved a substantial technical or ... Large Data Modeling: machine learning, artificial intelligence, natural language processing ...

Leidos

Expert Hyperspectral Image Scientist

Springfield, VA · On-site

$116.35K - $210.33K/yr

Experience with machine learning or artificial intelligence methods applied to hyperspectral data ... Python, MATLAB, ENVI/IDL, GIS, and scientific scripting * Data visualization and technical ...

Leidos

Expert Hyperspectral Image Scientist

Springfield, VA · Remote

$116.35K - $210.33K/yr

Experience with machine learning or artificial intelligence methods applied to hyperspectral data ... Python, MATLAB, ENVI/IDL, GIS, and scientific scripting * Data visualization and technical ...

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Gis Machine Learning information

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 are some common challenges faced 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 GIS Machine Learning jobs?

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 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 Virginia? For Gis Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Gis Machine Learning jobs in Virginia look for? The top searched job categories for Gis Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Gis Machine Learning jobs? Cities in Virginia with the most Gis Machine Learning job openings:
Gis Machine Learning jobs near you
Data Engineer

Data Engineer

Science Applications International Corporation

Reston, VA • On-site

$119.10K - $143K/yr

Other

Posted 8 days ago

Job description

Job Description
Description
SAIC is seeking a Data Engineer to support the Department of the Air Force Integrated Fires Command and Control (DIFC2) program of record. As the Data Engineer, you will design, develop, and implement data pipelines and analytics for applications. This position will collaborate with cross-functional teams to understand and address operational challenges using data pipelines and analytics. Position will be 100% onsite in the Reston, VA area.
Job Duties:
  • Collaborate with cross-functional teams to understand and address operational challenges using data pipelines and analytics.
  • Design, develop, and implement data pipelines and analytics for applications.
  • Perform exploratory data analysis, algorithm development, and testing.
  • Perform Data Ingest, Normalization, Sanitization, Extraction, Transformation, Loading, (ETL) process of structured and unstructure data to common standards for interoperability.
  • Work with multiple data formats, including UCI 2.0+, CSV, JSON, XML, Parquet, and ORC.
  • Develop and deploy data pipelines and analytics in real-world operational environments.
  • Deploy, monitor, and optimize data pipelines to ensure high performance and reliability.
  • Implement event streaming pipelines using Apache Nifi Workflows, Apache Kafka, AWS Kinesis, RabbitMQ, or ZeroMQ.
  • Utilize distributed computing platforms such as AWS Lambda, Dask, or Spark.
  • Leverage cloud-native tools including AWS S3, RDS, EFS, SNS, and SQS.
  • Utilize data pipeline frameworks such as AirByte, Apache Airflow, dbt, Apache Iceberg, and Snowflake.
  • Work with GIS data using ArcGIS, PostGIS, and related tooling.
  • Implement containerized environments using Docker or Kubernetes.
  • Apply cybersecurity principles in the context of secure DoD data applications.
  • Communicate findings and engineering solutions effectively with technical and mission stakeholders.
Qualifications
Typical Education and Experience:
  • Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
Qualifications:
  • U.S. Citizenship required.
  • Active TS/SCI security clearance required to start.
  • Bachelor's degree in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics and nine (9) years or Masters and seven (7) years or more of experience. Equivalent years of relevant experience in lieu of degree will be taken into consideration.
  • Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages.
  • 10 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field.
  • Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
  • Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
  • Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions.
  • Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
  • Ability to operate in a DDIL office environment.
  • Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position.
Preferred Skills and Experience:
  • Experience with large-scale data architecture across secure DoD or government environments.
  • Experience working with NAVWAR, NIWC Pacific, or naval C2/ISR programs.
  • Experience architecting data solutions across multi-domain or cross-domain systems.
  • Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments.
  • Experience with cloud-native data architecture and API design.
  • Programming experience in Go or Rust.
  • Proven experience designing, developing, and deploying complex data pipelines.
  • Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC).
  • Familiarity with event streaming technologies: (e.g. Kafka, AWS Kinesis, RabbitMQ, ZeroMQ).
  • Experience deploying, monitoring, and optimizing operational data pipelines.
  • Expertise in Elasticsearch, Redis, S3, PostgreSQL, or related datastores.
  • Experience with AWS data services (EFS, RDS, S3, SNS, SQS).
  • Experience with distributed computing: AWS Lambda, DASK, Spark.
  • Familiarity with AirByte, Airflow, dbt, Iceberg, Snowflake.
  • Experience managing, integrating, and retrieving GIS data (ArcGIS, PostGIS).
  • Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints).
  • Strong analytical and problem-solving skills.
  • Excellent communication skills in a collaborative team environment.
  • Previous experience supporting government agencies or military organizations.

Overview
SAIC accepts applications on an ongoing basis and there is no deadline.
SAIC® is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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