{"schemaVersion":"jobsearcher.job.v1","id":"ebe1c1b9a0d33123ff02df6e","url":"https://jobsearcher.com/jobs/ebe1c1b9a0d33123ff02df6e","canonicalUrl":"https://jobsearcher.com/jobs/ebe1c1b9a0d33123ff02df6e","title":"Cleared Data Scientist","description":"General Atomics Integrated Intelligence, Inc. (GA-Intelligence), an affiliate of General Atomics, was founded in 1989 and is located in Charlottesville, VA. It provides custom software development and innovative information engineering solutions to customers in government and private industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this \"data to knowledge\" is made available to end users in our own browser-based application for visualization, analysis, and understanding. We always want to do more, and that's where you come in!\nGA-Intelligence is seeking Data Scientists to join our core product team, shaping the future of situational awareness capabilities for our customers. Our teams leverage cutting-edge technology to process petabytes of data and extract features in near real time, all while providing a rich, live view of objects on land, sea, and sky. Join our growing team in taking our systems to the next level, giving end-users the power to see beyond the data and truly understand the world around them.\nDUTIES AND RESPONSIBILITIES:\nDesign, develop and program methods that integrate to systems that consolidate and analyze unstructured, diverse data sources to generate actionable insights and solutions for client services and product enhancement.\nDevelop, refine, deploy, and support statistical and machine learning models utilizing state of the art approaches.\nCommunicate insights and findings from analysis and experiments to product, service, and business managers.\nIdentify opportunities for product and customer process improvement using statistical and machine learning models to improve the effectiveness of different courses of action\nCreate and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements.\nDevelop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner.\nInteract with product and service teams to identify questions and issues for data analysis and experiments.\nDocument findings for business stakeholders as required. May create proposals, cost estimates, and whitepapers suitable for publication.\nRepresent the organization as a contact with internal and external representatives.\nMaintain the strict confidentiality of sensitive information.\nResponsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices.\nWe recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.\n\nJob Qualifications\nTypically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; five or more years of experience with a bachelor's degree, three or more years of experience with a master's degree, or one or more years with a PhD. May substitute equivalent experience in lieu of education.\nMust have a general understanding of software development concepts, principles, and theory and demonstrate the ability to follow and apply the use of programming and analysis concepts.\nMust be able to work both independently and in a team environment.\nAble to work extended hours and travel to support project needs as required.\nPREFERRED SKILLS AND EXPERIENCE:\nActive TS/SCI Clearance with CI Poly\nPrior experience with gym , Unity, Unreal, or some other simulation environments\nResearched or applied autonomy in a highly-latent, low-bandwidth, or otherwise resource constrained environment\nTrained deep reinforcement learning algorithms for coordination of multiple, autonomous goals\nPerformed nonlinear optimization for resource allocation with dynamic uncertainty and/or non-observable variables\nPrior experience in domains/industries like: robotics, space mission planning, large industrial facility automation, robust and resilient communications\nFamiliarity with common machine learning libraries for implementation (sklearn, weka, tensorflow, torch, etc)\nProficiency in one or more of: Python, C++, Java, R, Julia, Matlab\nAbility to understand and implement new models from the literature\nExperience with geospatial data and analytics.\nFamiliarity with Intelligence Community and DoD mission sets.\nJob Category\nEngineering\nExperience Level\nMid-Level (3-7 years)\nWorkstyle\nHybrid\nFull-Time/Part-Time\nFull-Time Salary\nPay Range Low\n98,100\nPay Range High\n171,398\nTravel Percentage Required\n0% - 25%\nRelocation Assistance Provided?\nYes\nUS Citizenship Required?\nYes\nClearance Required?\nYes\nClearance Level\nTop Secret (SCI access eligible)","company":"Generalatomic","rawCompany":"generalatomic","city":"Aurora","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-04-14T11:17:16.119Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Cleared Data Scientist","description":"General Atomics Integrated Intelligence, Inc. (GA-Intelligence), an affiliate of General Atomics, was founded in 1989 and is located in Charlottesville, VA. It provides custom software development and innovative information engineering solutions to customers in government and private industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this \"data to knowledge\" is made available to end users in our own browser-based application for visualization, analysis, and understanding. We always want to do more, and that's where you come in!\nGA-Intelligence is seeking Data Scientists to join our core product team, shaping the future of situational awareness capabilities for our customers. Our teams leverage cutting-edge technology to process petabytes of data and extract features in near real time, all while providing a rich, live view of objects on land, sea, and sky. Join our growing team in taking our systems to the next level, giving end-users the power to see beyond the data and truly understand the world around them.\nDUTIES AND RESPONSIBILITIES:\nDesign, develop and program methods that integrate to systems that consolidate and analyze unstructured, diverse data sources to generate actionable insights and solutions for client services and product enhancement.\nDevelop, refine, deploy, and support statistical and machine learning models utilizing state of the art approaches.\nCommunicate insights and findings from analysis and experiments to product, service, and business managers.\nIdentify opportunities for product and customer process improvement using statistical and machine learning models to improve the effectiveness of different courses of action\nCreate and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements.\nDevelop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner.\nInteract with product and service teams to identify questions and issues for data analysis and experiments.\nDocument findings for business stakeholders as required. May create proposals, cost estimates, and whitepapers suitable for publication.\nRepresent the organization as a contact with internal and external representatives.\nMaintain the strict confidentiality of sensitive information.\nResponsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices.\nWe recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.\n\nJob Qualifications\nTypically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; five or more years of experience with a bachelor's degree, three or more years of experience with a master's degree, or one or more years with a PhD. May substitute equivalent experience in lieu of education.\nMust have a general understanding of software development concepts, principles, and theory and demonstrate the ability to follow and apply the use of programming and analysis concepts.\nMust be able to work both independently and in a team environment.\nAble to work extended hours and travel to support project needs as required.\nPREFERRED SKILLS AND EXPERIENCE:\nActive TS/SCI Clearance with CI Poly\nPrior experience with gym , Unity, Unreal, or some other simulation environments\nResearched or applied autonomy in a highly-latent, low-bandwidth, or otherwise resource constrained environment\nTrained deep reinforcement learning algorithms for coordination of multiple, autonomous goals\nPerformed nonlinear optimization for resource allocation with dynamic uncertainty and/or non-observable variables\nPrior experience in domains/industries like: robotics, space mission planning, large industrial facility automation, robust and resilient communications\nFamiliarity with common machine learning libraries for implementation (sklearn, weka, tensorflow, torch, etc)\nProficiency in one or more of: Python, C++, Java, R, Julia, Matlab\nAbility to understand and implement new models from the literature\nExperience with geospatial data and analytics.\nFamiliarity with Intelligence Community and DoD mission sets.\nJob Category\nEngineering\nExperience Level\nMid-Level (3-7 years)\nWorkstyle\nHybrid\nFull-Time/Part-Time\nFull-Time Salary\nPay Range Low\n98,100\nPay Range High\n171,398\nTravel Percentage Required\n0% - 25%\nRelocation Assistance Provided?\nYes\nUS Citizenship Required?\nYes\nClearance Required?\nYes\nClearance Level\nTop Secret (SCI access eligible)","datePosted":"2026-04-14T11:17:16.119Z","dateModified":"2026-04-14T11:17:16.119Z","hiringOrganization":{"@type":"Organization","name":"Generalatomic","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Aurora","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ebe1c1b9a0d33123ff02df6e"},"url":"https://jobsearcher.com/jobs/ebe1c1b9a0d33123ff02df6e"}}