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Data Scientist - AI/ML

Science Systems and Applications, Inc.

Lanham, MDJobPosted 3mo agoSeen in employer's feed 4 days ago

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At a glance

Compensation
No compensation found
Location
Lanham, MD
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Master's degree

Job overview

Science Systems and Applications, Inc. is hiring a Data Scientist - AI/ML. Science Systems and Applications, Inc. (SSAI) is seeking a highly motivated Data Scientist to support NASA Earth science data systems, geospatial analytics, scientific software development, and AI/ML initiatives. The role includes researching, evaluating, and applying emerging technologies such as artificial intelligence, quantum computing methodologies, and advanced analytics to advance Earth science research, geospatial data processing, and scientific discovery.

Key focus areas include Design, develop, and deploy machine learning and artificial intelligence models to support predictive analytics, environmental monitoring, geospatial intelligence, and Earth science research applications., Develop geospatial analytics, visualization tools, and web-based applications for large environmental and remote sensing datasets., and Create and support RESTful APIs, web services, and cloud-based data access systems utilizing AWS and Azure cloud platforms for scalable storage, processing, and dissemination of Earth science data..

Successful candidates bring Master’s Degree and 5+ Years Experience. Important skills include Machine Learning, Artificial Intelligence, Geospatial Analytics, Scientific Software Development, Predictive Analytics, and Environmental Monitoring. Preferred (not required): NASA Earth Science Programs, NOAA Earth Science Programs, USGS Earth Science Programs, and Satellite Data Products.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningArtificial IntelligenceGeospatial AnalyticsScientific Software DevelopmentPredictive AnalyticsEnvironmental MonitoringGeospatial IntelligenceWeb-Based ApplicationsRESTful APIsWeb ServicesAWSAzureData Processing PipelinesQuality ControlSatellite-Derived Geospatial ProductsOperational Software SolutionsEarth Science Data ArchivesUser ServicesCommunity EngagementSpatial AnalysisTemporal AnalysisGISRemote SensingStatistical MethodsPythonScientific Computing FrameworksCloud ServicesFortranData VisualizationIntegrating Diverse DatasetsTechnical DocumentationScientific ReportsConference PresentationsPeer-Reviewed PublicationsQuantum ComputingHigh-Performance ComputingGeospatial Data Processing ToolsSpatial DatabasesApplication Development FrameworksCommunicationCollaborationNASA Earth Science ProgramsNOAA Earth Science ProgramsUSGS Earth Science ProgramsSatellite Data ProductsMODISLandsatVIIRSGeospatial Web Applications

Qualifications

Master's Degree5 Years Related Experience and/or TrainingEquivalent Combination of Education and ExperienceExperience Applying AI/ML Techniques to Earth Science, Climate, Environmental, Geospatial, Remote Sensing, or Other Large Scientific DatasetsExperience With Scientific Computing WorkflowsExperience Developing and Deploying AI/ML Solutions Using Cloud PlatformsExperience With GIS and Geospatial Data Processing ToolsExperience Working With Large Environmental, Remote Sensing, or Geospatial DatasetsExperience Developing and Supporting Data Visualization and Analytics Tools

Full job description

Science Systems and Applications, Inc. (SSAI) is seeking a highly motivated Data Scientist to support NASA Earth science data systems, geospatial analytics, scientific software development, and AI/ML initiatives. The role includes researching, evaluating, and applying emerging technologies such as artificial intelligence, quantum computing methodologies, and advanced analytics to advance Earth science research, geospatial data processing, and scientific discovery.

Responsibilities

  • Design, develop, and deploy machine learning and artificial intelligence models to support predictive analytics, environmental monitoring, geospatial intelligence, and Earth science research applications.

  • Develop geospatial analytics, visualization tools, and web-based applications for large environmental and remote sensing datasets.

  • Create and support RESTful APIs, web services, and cloud-based data access systems utilizing AWS and Azure cloud platforms for scalable storage, processing, and dissemination of Earth science data.

  • Develop workflows for processing, quality control, analysis, and dissemination of satellite-derived geospatial products.

  • Collaborate with scientists to translate research requirements into operational software solutions.

  • Support Earth science data archives, user services, and community engagement activities.

  • Perform spatial and temporal analysis of environmental datasets using GIS, remote sensing, and statistical methods.

  • Develop and automate data processing pipelines using Python and scientific computing frameworks, leveraging cloud services to support large-scale geospatial and remote sensing workflows.

  • Support, maintain, and integrate legacy scientific applications developed in Fortran with modern Python-based analytics, data processing, and visualization workflows.

  • Integrate diverse datasets from satellite observations, field measurements, and numerical models.

  • Prepare technical documentation, scientific reports, conference presentations, and peer-reviewed publications.

  • Collaborate with scientists, software engineers, and technology partners to identify opportunities for integrating quantum computing concepts into AI/ML workflows, high-performance computing environments, and next-generation Earth science applications.

Required Qualifications

  • Master’s Degree (M.S.) and a minimum of 5 years related experience and/or training, or equivalent combination of education and experience.

  • Experience applying AI/ML techniques to Earth science, climate, environmental, geospatial, remote sensing, or other large scientific datasets.

  • Strong programming skills in Python and experience with scientific computing workflows, including Fortran and high-performance computing environments.

  • Experience developing and deploying AI/ML solutions using cloud platforms such as AWS and Azure.

  • Experience with GIS and geospatial data processing tools.

  • Experience working with large environmental, remote sensing, or geospatial datasets.

  • Knowledge of spatial databases, web services, application development frameworks, and emerging technologies such as quantum computing.

  • Experience developing and supporting data visualization and analytics tools.

  • Strong written and verbal communication skills.

  • Ability to work effectively in multidisciplinary scientific teams.

Desired Qualifications

  • Experience supporting NASA, NOAA, USGS, or other federal Earth science programs.

  • Experience with satellite data products such as MODIS, Landsat, VIIRS, or similar Earth observation datasets.

  • Experience developing geospatial web applications and cloud-enabled data services.

  • Knowledge of GDAL, ArcGIS, GRASS GIS, or similar geospatial software packages.

  • Experience with JavaScript, Node.js, SQL, Linux, and scientific computing environments.

  • Experience with hydrologic, environmental, ecological, or climate modeling.

  • Demonstrated record of peer-reviewed scientific publications.

  • Experience interacting directly with scientific user communities and stakeholders.

EEO/AA Veterans and Individuals with Disabilities

Physical Requirements: While performing the duties of this job, the employee is regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. The employee frequently is required to talk and hear and occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, peripheral vision, depth perception and the ability to adjust focus

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