{"id":3402678,"url":"https://alion.io/job/mitre-geospatial-data-scientist","title":"Geospatial Data Scientist","company":{"id":37980,"name":"MITRE","domain":"mitre.org","url":"https://alion.io/company/mitre","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["McLean, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":124400,"max":155500,"currency":"USD","period":"year","gross":null,"usd_annual":155500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Apache HTTP Server","optional":true},{"name":"ArangoDB","optional":true},{"name":"C#","optional":true},{"name":"C++","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"ETL/ELT","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"MS SQL","optional":true},{"name":"Neo4j","optional":true},{"name":"OpenLayers","optional":true},{"name":"Oracle","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-20T00:00:00Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-29T12:30:12Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"At MITRE, your passion fuels work that impacts our nation and improves lives. This is where your skills strengthen national security, cybersecurity, health, transportation, and citizen services. We’re a nonprofit engineering, applied research, and advanced technology organization working in the public interest. With objectivity and integrity at our core, we lead federally funded research and development centers for U.S. government agencies - collaborating with industry and academia to deliver integrated, high-impact solutions that advance our nation’s health, security, and prosperity. Our people tackle the toughest technical challenges, supported by competitive benefits, meaningful career development, and a culture of innovation, collaboration, and technical excellence. Choose MITRE for a career with purpose - and help shape the future.Department Summary:\nMITRE’s Model-Based Analytics Department (L144) is looking for qualified applicants to bring their geospatial, machine learning, advanced analytics, and applied research skills to bear on solving problems of critical national importance. MITRE’s diverse work program provides opportunities to apply your expertise and creative thinking in challenging domains such as healthcare, transportation, and national security. Employees may also participate in MITRE’s internal research and development program, which provides funding for innovative applied research that addresses our sponsors’ hardest problems.\nOur department is an interdisciplinary department that thrives on having a large toolbox to support data- and model-driven decision making. We value people who can bring diverse and inclusive perspectives. Our department works to solve modeling and analytic problems in the public interest, in partnership with the government. We also actively conduct independent research in areas of interest to our government partners. If you are passionate about being a Data Scientist that specializes in Geospatial Information Sciences, your skill sets align with our capabilities, and you like working in a collaborative, team-oriented environment, we want to hear from you!\nRoles & Responsibilities:\nThe successful candidate for this position is a geospatial data scientist who combines a solid theoretical and technical background with the ability to formulate problems, develop and evaluate solutions, and communicate results. Familiarity with advanced geospatial data science, modeling, and analysis techniques and methods (e.g., supervised and unsupervised machine learning, GeoAI, Geosimulation, patiotemporal graphs) is a plus. Hands-on software development skills are a must. Candidates should have a strong understanding of how to engineer spatial solutions for geospatial systems and architecture in both traditional and cloud computing environments. Lifelong learning and keeping up with the latest research and technologies is an essential part of working in this field.\nRoles and responsibilities include:\nSupport the development of geospatial data science, modeling, analysis, visualization, and engineering deliverables for sponsor projects and programs, internal research and development, and corporate strategic initiatives.\nRemain current on open-source, industry, academia, and US Government techniques and tools for geospatial data science, modeling, analysis, visualization, and engineering.\nApply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.\nBuild and test geospatial prototypes in MITRE, government, and commercial cloud environments.\nBasic Qualifications:\nTypically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.\nBachelor’s degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related degree.\nApplied experience with common GIS tools, developing geospatial workflows, and visualizations using Python.\nApplied experience in spatial analysis and modeling, and ETL of spatiotemporal datasets and managing spatial databases.\nApplied experience in the configuration of web-mapping, dashboard applications, and remotely sensed data.\nFamiliarity with geostatistics, spatial machine learning, geosimulation, or GeoAI, and multispectral and hyperspectral imagery or synthetic aperture radar.\nFamiliarity working with spatiotemporal data in graph databases, such as ArcGIS Knowledge, Neo4j, or ArangoDB.\nFamiliarity developing web applications with common libraries, e.g. OpenLayers, Leaflet, ArcGIS JS API.\nFamiliarity with geospatial data architectures and spatial database design and management, as well as containerization concepts.\nMust be eligible to obtain and maintain a Top Secret/SCI U.S Government issued Security Clearance. Per the U.S. Government’s eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.\nThis position requires a minimum of 3 days on-site.\nPreferred Qualifications:\nActive TS/SCI with polygraph.\nAdvanced degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related technical discipline.\nExperience leading technical development across multi-disciplinary teams.\nApplied experience with other software development languages, e.g., C++, Java, C#, JavaScript.\nApplied experience with spatiotemporal big data technologies, e.g., GeoMesa, GeoTrellis, Data Bricks, or GeoSpark (Apache Sedona).\nApplied experience with data architecture containerization concepts, e.g. Docker or Kubernetes.\nApplied experience working with remotely sensed data to include aerial and satellite imagery, multi- and hyper-spectral imagery, LiDAR, or synthetic aperture radar.\nApplied experience with applying spatial modeling and analysis techniques to the atmospheric, climate, marine, oceanic, hydrologic, geomorphologic, critical infrastructure, transportation, network, telemetry, or terrain domains.\nExperience leading or conducting research.\nExperience designing geospatial data science tasking and/or leading a team of geospatial data scientists.\nApplied experience with developing web applications with common libraries, e.g., OpenLayers, Leaflet, ArcGIS JS API.\nFamiliarity implementing DevSecOps, DataOps, or Applied experience in architecting, resourcing, deploying, and administering a GID enterprise including physical and virtual machines, cloud-based components, and remote application delivery serving hundreds of users\nApplied experience maintaining multiple enterprise relations database management systems hosted in MS SQL Server, PostgreSQL, Oracle or similar.\nThis requisition requires the candidate to have a minimum of the following clearance(s):\nNoneThis requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):\nTop Secret/SCISalary compensation range and midpoint:\n$124,400 - $155,500 - $186,600 AnnualWork Location Type:\nOnsiteCommitment to Non-Discrimination\nAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.\nMITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE’s employment process, please email  for general support and  for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply.\nBenefits information may be found here.\nCopyright © 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. 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