Geospatial Data Scientist

The MITRE Corporation•McLean, VA

1d•$124,400 - $186,600•Onsite

About The Position

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: MITRE’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. Our 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!

Requirements

Typically 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.
Bachelor’s degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related degree.
Applied experience with common GIS tools, developing geospatial workflows, and visualizations using Python.
Applied experience in spatial analysis and modeling, and ETL of spatiotemporal datasets and managing spatial databases.
Applied experience in the configuration of web-mapping, dashboard applications, and remotely sensed data.
Familiarity with geostatistics, spatial machine learning, geosimulation, or GeoAI, and multispectral and hyperspectral imagery or synthetic aperture radar.
Familiarity working with spatiotemporal data in graph databases, such as ArcGIS Knowledge, Neo4j, or ArangoDB.
Familiarity developing web applications with common libraries, e.g. OpenLayers, Leaflet, ArcGIS JS API.
Familiarity with geospatial data architectures and spatial database design and management, as well as containerization concepts.
Must 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.
This position requires a minimum of 3 days on-site.

Nice To Haves

Active TS/SCI with polygraph.
Advanced degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related technical discipline.
Experience leading technical development across multi-disciplinary teams.
Applied experience with other software development languages, e.g., C++, Java, C#, JavaScript.
Applied experience with spatiotemporal big data technologies, e.g., GeoMesa, GeoTrellis, Data Bricks, or GeoSpark (Apache Sedona).
Applied experience with data architecture containerization concepts, e.g. Docker or Kubernetes.
Applied experience working with remotely sensed data to include aerial and satellite imagery, multi- and hyper-spectral imagery, LiDAR, or synthetic aperture radar.
Applied experience with applying spatial modeling and analysis techniques to the atmospheric, climate, marine, oceanic, hydrologic, geomorphologic, critical infrastructure, transportation, network, telemetry, or terrain domains.
Experience leading or conducting research.
Experience designing geospatial data science tasking and/or leading a team of geospatial data scientists.
Applied experience with developing web applications with common libraries, e.g., OpenLayers, Leaflet, ArcGIS JS API.
Familiarity 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
Applied experience maintaining multiple enterprise relations database management systems hosted in MS SQL Server, PostgreSQL, Oracle or similar.

Responsibilities

Support 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.
Remain current on open-source, industry, academia, and US Government techniques and tools for geospatial data science, modeling, analysis, visualization, and engineering.
Apply 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.
Build and test geospatial prototypes in MITRE, government, and commercial cloud environments.