Complex Systems Modeler Security Clearance

Position: Complex Systems Modeler with Security Clearance
Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do.

The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership.

If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. MITRE's Model-Based Analytics Department (L644) is seeking a motivated, creative Complex Systems Modeler to apply their modeling, operational analysis, and applied research skills to bear on solving problems of critical national importance. MITRE's diverse work program provides opportunities to apply your expertise and creative thinking in challenging domains such as national security, healthcare, and transportation.

This position offers the opportunity to interact directly with government leaders in a fast-paced and dynamic atmosphere with the ability to make a difference and impact outcomes with solid analysis. Our department uses an array of approaches from the fields of both data analysis and modeling & simulation to help our sponsors develop a deep, causal understanding of the dynamics of their problems and identify and evaluate potential interventions in rigorous, intuitive, and analytically defensible ways.

Modeling approaches, when combined and grounded with data analysis, allow us to go beyond correlations and pattern identification in data and help us test and develop intuition, leading to successful actions taken by our sponsor more quickly and more defensibly. We specialize in building deployable tools that allow sponsors to interact directly with models to develop intuition and explore causality within their domains.

Our interdisciplinary department thrives on having a large toolbox to support data- and model-driven decision making and we value people who can bring diverse perspectives. Our employees are expected to work on multiple projects, cross-pollinate good ideas across the government and continuously learn. We work to solve modeling and analytic problems in the public interest, in partnership with the government.

We also actively conduct independent research in areas of interest to our government partners. If you are passionate about applying your technical expertise, your skill sets align with our capabilities, and you like working in a collaborative, team-oriented environment, we want to hear from you!

Roles & Responsibilities :
To be successful you will:
* Be passionate about formulating and developing models and simulations of real world problems involving complex dynamic systems.

* Have an innate curiosity and interest in developing research questions and testing hypotheses with open ended tasking.

* Work with a spectrum of government sponsors to gain understanding of their challenges, evaluate possible solutions, and conduct insightful, actionable analyses.

* Support development and application of a variety of analytic models to sponsor challenges, with a willingness to adapt and learn in a fast-paced environment.

* Present results in an intuitive, actionable manner that can be understood by all audiences, regardless of technical expertise.

* Remain current on open-source, industry, academia, and US Government techniques and tools for modeling, analysis, data science, visualization, and engineering.

* Take initiative in owning aspects of your work and be a collaborative teammate.

Basic Qualifications:

* Minimum of 5 years of experience with Bachelor degree, or 3 years and a Master's Degree with relevant hands-on experience in computational modeling and analysis or PhD with relevant experience

* Excellent written and verbal communication skills.

* Demonstrated ability to formulate rigorous models based on loosely defined or under specified research questions and requirements.

* Demonstrated expertise using at least one of the following paradigms: agent-based modeling, discrete event modeling, system dynamics, or applied statistical modeling/machine learning for complex systems.

* Applied experience in modeling and analysis of spatiotemporal datasets.

* Experience manipulating large datasets with at least one modern programming language or business intelligence platform (e.g., Python, R , SAS, MATLAB, Java, C++).

* Experience leveraging COTS tools or…