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Machine Learning Geospatial Jobs in Virginia (NOW HIRING)

... time series, geospatial, and imagery data, and must operate under challenging constraints not ... The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ...

... time series, geospatial, and imagery data, and must operate under challenging constraints not ... The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ...

Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us ... evaluate machine learning solutions * Engineer and transform diverse data types to support all ...

Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us ... evaluate machine learning solutions * Engineer and transform diverse data types to support all ...

Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us ... evaluate machine learning solutions * Engineer and transform diverse data types to support all ...

Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us ... evaluate machine learning solutions * Engineer and transform diverse data types to support all ...

Imagery Anst II

Falls Church, VA · On-site

$79K - $134K/yr

Responsibilities for this position include providing imagery and geospatial analysis services in the Machine Learning disciplines to facilitate the creation, review, and verification of training data ...

Imagery Anst Sr

Sterling, VA · On-site

$95K - $161K/yr

Responsibilities for this position include providing imagery and geospatial analysis services in the Machine Learning disciplines to facilitate the creation, review, and verification of training data ...

Imagery Anst Sr

Falls Church, VA · On-site

$95K - $161K/yr

Responsibilities for this position include providing imagery and geospatial analysis services in the Machine Learning disciplines to facilitate the creation, review, and verification of training data ...

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Machine Learning Geospatial information

What does a Machine Learning Geospatial professional do?

A Machine Learning Geospatial professional uses machine learning techniques to analyze and interpret geospatial data, such as satellite imagery, maps, and GPS data. Their work involves building and training models to detect patterns, make predictions, and solve spatial problems in fields like agriculture, urban planning, disaster response, and environmental monitoring. These professionals often collaborate with data scientists and GIS (Geographic Information Systems) specialists to extract actionable insights from large and complex geospatial datasets. Their skills are crucial for automating tasks such as image classification, land cover mapping, and object detection in geographic contexts.

What are some common challenges faced by Machine Learning Geospatial professionals when integrating spatial data into predictive models?

Machine Learning Geospatial professionals often encounter challenges such as managing large and complex spatial datasets, ensuring data quality and consistency, and handling spatial autocorrelation that can bias model results. Additionally, integrating diverse data sources—like satellite imagery, sensor data, and GIS layers—requires advanced pre-processing and domain knowledge. Collaborating with GIS analysts and domain experts is usually essential to develop robust models that provide actionable insights.

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

AspectMachine Learning GeospatialGIS Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial dataBachelor's in Geography, GIS, or related fields; proficiency in GIS software
Work EnvironmentTech companies, data science teams, research institutionsGovernment agencies, urban planning, environmental firms
Industry UsageData-driven geospatial analysis, predictive modeling, AI applicationsMapping, spatial data management, spatial analysis

Machine Learning Geospatial professionals focus on applying machine learning techniques to analyze geospatial data, often working with large datasets and developing predictive models. GIS Analysts primarily handle spatial data management, mapping, and analysis using GIS software. While both roles work with geospatial data, Machine Learning Geospatial roles emphasize data science and AI, whereas GIS Analysts focus on spatial information management and visualization.

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

To thrive as a Machine Learning Geospatial specialist, you need a strong background in machine learning, geospatial analysis, programming (Python, R), and a relevant degree in computer science, geography, or a related field. Familiarity with GIS software (e.g., ArcGIS, QGIS), remote sensing tools, and cloud platforms like Google Earth Engine or AWS is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualities are crucial for developing accurate geospatial models and delivering actionable insights from complex spatial data.
What are popular job titles related to Machine Learning Geospatial jobs in Virginia? For Machine Learning Geospatial jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Machine Learning Geospatial jobs? Cities in Virginia with the most Machine Learning Geospatial job openings:
Mid-level Geospatial Analyst (OBI Advanced Analytic Method Augme with Security Clearance

Mid-level Geospatial Analyst (OBI Advanced Analytic Method Augme with Security Clearance

CELESTAR CORPORATION

Reston, VA • On-site

Other

Medical, Dental, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Celestar Corporation is seeking a Mid-level Geospatial Analyst (OBI Advanced Analytic Method Augmentation) to support The Defense Intelligence Agency ( DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity. ANTICIPATED AWARD: TBD ANTICIPATED START: TBD PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years LOCATION: DIA Facilities across the National Capital Region (NCR) CLEARANCE REQUIREMENT: Active TS/SCI About Us: Celestar, a proud Veteran-Owned company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off. Responsibilities: This opportunity will support multiple DIA initiatives, including the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI). • The Geospatial Analyst (OBI Advanced Analytic Method Augmentation), Conducts geospatial analysis of objects, networks, and persons using geospatial tools, methodologies, spatial-temporal data, imagery, social and physical sciences. • Exploits imagery, vector, and other data types to include non-geospatially correlated data to locate, identify, and map objects in the spatial domain. • Provides analysis on, but is not limited to, terrain mapping, route planning, and maritime geospatial activity. • Possesses in depth knowledge and experience in conducting geospatial analysis of objects, networks, and persons using geospatial tools, methodologies, spatial-temporal data, imagery, social and physical sciences. • Possesses in-depth knowledge of integrating geospatial data into all source products or analytical workflows, and at building and explaining geospatial models that leverage statistics, data science, and appropriate quantitative methods. • Analyzes and characterizes spatial-temporal data using GIS such as ArcGIS or QGIS. • Serves as the primary POC for geospatial expertise, ensuring tradecraft compliance and analytic standards as it relates to geospatial analysis on the contract. • Provides advice on emerging geospatial methods, tools, algorithms, training, or requirements to advance DIA's analytic edge in relation to geospatial analysis. • Uses geospatial tools, enterprise capabilities, methodologies, spatial & temporal data, imagery, social and physical sciences to exploit imagery, vector, and other data types - including non-geospatially correlated data to identify and characterize evidence to support all-source analytic assessments. • Employs new and improved methodologies or data sets to address information gaps and identify areas of information to help resolve complex analytic problems and to ensure solutions to analytical problems are rigorous and logical. • Exploits an understanding of community data sets, agency programs, machine learning, data science, and related disciplines to collaborate on analytic projects or programs throughout the DoD, IC, CCMDs, Foreign Partners, Academia, and Industry. • Provides deliverables that enhance analytic insight through the integration of new data sets and advanced analytic methods. • Integrates geospatial data, techniques, and tools into workflows that respond to analytic requirements and client needs. • Leverages cartographic principles in all map products to ensure ease of use and interpretation. • Supports DIA efforts to vet or validate existing or emerging programs and capabilities. • Develops or discovers algorithms and solutions to analyze, process, or visualize data that is larger than RAM or requires distributed processing. Required qualifications/skills: • Minimum 8 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years with a bachelor's degree. Come on board with a company that Values its Employees! Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.