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Bachelor's or Master's degree with 5+ years of experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field.
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Master's degree in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
$146,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Job Description Solis Applied Science is seeking Senior level Geospatial Analyst professionals with experience focused on digital cartography and image processing. Ability to brief Seniors to influence decisions Serve as the team lead for the junior contractor FTE’s , About Solis Applied Science Solis Applied Science (Solis), a Service-Disabled Veteran-Owned Small Business, was founded in 2016 by remote sensing experts, with deep-rooted academic, federal, military, and industry applied science backgrounds.
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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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Desired Qualifications:- TS/SCI clearance is required- Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, withdemonstrated experience with digital strategy, IT project management, enterprise architecture,SDLC (Software Development Life Cycle), or transformation.
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DTRA is the Executive Agent for the Joint Staff Nuclear Weapons Stockpile Manager and is assigned the responsibility for maintaining the DoDs national nuclear weapons stockpile database using the Defense Integration and Management of Nuclear Data Services (DIAMONDS) application.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Bachelor’s degree in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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Expertise in widely-used geospatial software applications and tools, including Python, SQL, Mathematics, Statistics, Business Analytics, Data Visualization, ESRI ArcGIS, Time Series Modeling, Large Language Modeling, Sagemaker, IDL, MATLAB, R, Git, Tableau, Databricks, Hue, Knowi, and Kibana.
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M.S degree in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field. Ph. D. in Electrical Engineering, Computational Linguistics, Computer Science, Mathematics, or related technical field.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Knowledge of cloud computing architectures, cloud governance and risk management, business continuity, infrastructure security, virtualization and containers, incident response, application security, data security and encryption, and identity and access management.
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Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the government. Position Overview QineitQ is looking for a results-driven Data Scientist to support NSG strategies through the creation of automated collection, models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
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Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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IBM Mainframe (z Series) configuration items including data, applications and infrastructure: COBOL, CICS, Assembler, REXX, JCL, FileAid, AbendAid, Strobe and SysView; Reviews Lower (non-Production) environments and associated activities to ensure compliance with Enterprise standards and the ISD Environments Management Directive, preventing, or documenting and/or remediating any known gaps.
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