Applied Scientist at Improbable-2

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. 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. At Improbable, you will be surrounded by people who want to improve everything and everyone around them, and who compel you to improve yourself. We are motivated by the fulfillment of solving hard problems to achieve something profound and transformative.

What is this role?

This is a full-time, senior-level Applied Scientist position. The role operates in a hybrid work mode and is open to candidates located anywhere.

What will you do?

• Bring together best-in-class models to build and iterate on the most appropriate application of modeling and simulation for defense and national security challenges.
• Iteratively design and prototype models of real-world systems that enable customers to interrogate the past, understand the present, and predict the future.
• Collaborate with engineers to implement high-performance models in production environments while working closely with our product team to enhance the foundational technology platform.

What makes you a great fit?

We are looking for someone with a strong background in delivering technical, data-rich projects, ideally for external clients. You hold a degree in a scientific, engineering, or mathematical field, ideally with a computational element, and you bring demonstrated knowledge in statistical modeling and analysis. Experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems is highly valued. Familiarity with game engines such as Unity and Unreal is a plus, along with pragmatic coding ability and fluency in at least one relevant programming language. We use Python, R, Java, C, C++, and many related tools and libraries. You excel at breaking down problem requirements, selecting effective analytical methods, and developing defensible solutions. Experience with probabilistic programming, working with real and complex data including geospatial data, and effectively communicating with clients in person, in writing, and through visualization will set you apart. We communicate in English.

What's in it for you?

We offer a hybrid work arrangement that supports flexibility while fostering collaboration.