{"schemaVersion":"jobsearcher.job.v1","id":"8be3f0d110a9b2ef5ee66e00","url":"https://jobsearcher.com/jobs/8be3f0d110a9b2ef5ee66e00","canonicalUrl":"https://jobsearcher.com/jobs/8be3f0d110a9b2ef5ee66e00","title":"Applied Scientist","description":"Join Improbable U.S. Defense & National Security and you will help users leverage our synthetic environment development platform to plan and train for the most complex security threats in the world. Working with experts in AI, Machine Learning, computational modeling, and distributed systems, you will put multiplayer gaming technology to life-saving use.\r\nOur mission? To enable the most realistic and effective virtual worlds ever experienced. Our team in Arlington, VA, and across several other locations in the US, is focused on applying our technology to solve real-world Defense and National Security problems.\r\nAt Improbable, you will be surrounded by people who want to improve everything and everyone around them, and who compel you to improve yourself. We're motivated by the fulfillment of solving hard problems to achieve something profound and transformative.\r\nOur applied scientists are solution focused, collaborating in diverse technical teams to design, build, deploy, and evaluate complex models and simulations that help solve a variety of real-world problems. Your work could entail anything from the creation of realistic synthetic entities and environments to modeling real world systems.\r\nAreas for Impact Bring together best in class models to build and iterate on the most appropriate application of Modeling & Simulation.\r\nIteratively design and prototype models of real-world systems that enable our customers to interrogate the past, understand the present, and predict the future.\r\nCollaborate with engineers to implement high performance models in production environments.\r\nWork closely with Improbable's product team to enhance our foundational technology platform.\r\nCritically assess the type and quality of customer or open-source data and define modeling assumptions and capture uncertainty.\r\nTake ownership of ensuring and demonstrating the reliability of the models that we create.\r\nWork closely with our technology customers to understand their problems and develop use cases for Improbable technology.\r\nAdditionally, you will drive thought leadership within the company and help our clients understand their needs and design their model and simulation strategies. This involves keeping up to date with a diverse body of cutting-edge research, designing and prototyping new technical approaches, and rapidly developing expertise in new subject areas to support new bids and projects.\r\nQualifications Strong background and experience in delivery of technical, data-rich projects ideally for external clients.\r\nDegree in a scientific, engineering, or mathematical field, ideally with a computational element.\r\nDemonstrated knowledge in a statistical modeling and analysis.\r\nDemonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems.\r\nExperience using game engines such as Unity and Unreal.\r\nPragmatic coding ability - with fluency in at least one relevant programming language and the openness to learn and adapt to a variety of languages. We use Python, R, Java, C, C++, and many related tools and libraries.\r\nBreaking down problem requirements, selecting effective analytical methods, and developing defensible solutions.\r\nProbabilistic programming. You can see our early open-sourced work without a link here.\r\nWorking with real, complex data, including geospatial data.\r\nEffectively communicating with clients in person, in writing, and with visualization.\r\nWhile we think the above experience could be important, we're keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!\r\nJ-18808-Ljbffr","company":"Improbable","rawCompany":"improbable","city":"Arlington","state":"VA","isRemote":false,"isActive":true,"createdAt":"2026-04-09T09:41:43.429Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2031.00","title":"Operations Research Analysts","slug":"operations-research-analysts"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-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"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Applied Scientist","description":"Join Improbable U.S. Defense & National Security and you will help users leverage our synthetic environment development platform to plan and train for the most complex security threats in the world. Working with experts in AI, Machine Learning, computational modeling, and distributed systems, you will put multiplayer gaming technology to life-saving use.\r\nOur mission? To enable the most realistic and effective virtual worlds ever experienced. Our team in Arlington, VA, and across several other locations in the US, is focused on applying our technology to solve real-world Defense and National Security problems.\r\nAt Improbable, you will be surrounded by people who want to improve everything and everyone around them, and who compel you to improve yourself. We're motivated by the fulfillment of solving hard problems to achieve something profound and transformative.\r\nOur applied scientists are solution focused, collaborating in diverse technical teams to design, build, deploy, and evaluate complex models and simulations that help solve a variety of real-world problems. Your work could entail anything from the creation of realistic synthetic entities and environments to modeling real world systems.\r\nAreas for Impact Bring together best in class models to build and iterate on the most appropriate application of Modeling & Simulation.\r\nIteratively design and prototype models of real-world systems that enable our customers to interrogate the past, understand the present, and predict the future.\r\nCollaborate with engineers to implement high performance models in production environments.\r\nWork closely with Improbable's product team to enhance our foundational technology platform.\r\nCritically assess the type and quality of customer or open-source data and define modeling assumptions and capture uncertainty.\r\nTake ownership of ensuring and demonstrating the reliability of the models that we create.\r\nWork closely with our technology customers to understand their problems and develop use cases for Improbable technology.\r\nAdditionally, you will drive thought leadership within the company and help our clients understand their needs and design their model and simulation strategies. This involves keeping up to date with a diverse body of cutting-edge research, designing and prototyping new technical approaches, and rapidly developing expertise in new subject areas to support new bids and projects.\r\nQualifications Strong background and experience in delivery of technical, data-rich projects ideally for external clients.\r\nDegree in a scientific, engineering, or mathematical field, ideally with a computational element.\r\nDemonstrated knowledge in a statistical modeling and analysis.\r\nDemonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems.\r\nExperience using game engines such as Unity and Unreal.\r\nPragmatic coding ability - with fluency in at least one relevant programming language and the openness to learn and adapt to a variety of languages. We use Python, R, Java, C, C++, and many related tools and libraries.\r\nBreaking down problem requirements, selecting effective analytical methods, and developing defensible solutions.\r\nProbabilistic programming. You can see our early open-sourced work without a link here.\r\nWorking with real, complex data, including geospatial data.\r\nEffectively communicating with clients in person, in writing, and with visualization.\r\nWhile we think the above experience could be important, we're keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T09:41:43.429Z","dateModified":"2026-04-09T09:41:43.429Z","hiringOrganization":{"@type":"Organization","name":"Improbable","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Arlington","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8be3f0d110a9b2ef5ee66e00"},"url":"https://jobsearcher.com/jobs/8be3f0d110a9b2ef5ee66e00"}}