Intermediate Complex Systems Modeler

The Mitre Corporation • New Bedford, MA

7d • $98,800 - $148,200 • Onsite

About The Position

MITRE’s Complex Systems Department seeks a motivated Complex Systems Modeler graduating in 2027 to apply modeling, operational analysis, and applied research to problems of national importance. The department’s work spans domains such as national security, healthcare, and transportation, with opportunities to engage directly with government leaders and assess challenges and potential solutions through rigorous analysis.

The department combines data analysis with modeling and simulation to help sponsors understand the causes and dynamics of complex problems and evaluate potential interventions. Modelers develop deployable tools that let sponsors interact with models, explore causality, and build intuition. Employees work across multiple projects, collaborate with government partners, share ideas across domains, continue learning, and may conduct independent research relevant to government partners.

The role requires at least three days per week onsite. The hired candidate must obtain Top Secret/SCI clearance within one year of hire; U.S. citizenship is required for clearance eligibility. The stated annual salary range is $98,800–$148,200, with a midpoint of $123,500.

Requirements

• Master’s degree in a quantitative field such as Data Science, Computational Social Science, Mathematics, Statistics, Operations Research, Geospatial Science, Computer Science, Software Engineering, or Economics.
• Enrollment in an accredited degree program with anticipated graduation in 2027.
• At least two years of experience with a bachelor’s degree, or a master’s degree with relevant hands-on experience in computational modeling and analysis.
• Excellent written and verbal communication skills.
• Ability to formulate rigorous models from loosely defined or underspecified research questions and requirements.
• Expertise using Agentic-AI and at least one of these paradigms: agent-based modeling, discrete event modeling, system dynamics, or applied statistical modeling/machine learning for complex systems.
• Applied experience modeling and analyzing spatiotemporal datasets.
• Experience manipulating large datasets with a modern programming language or business intelligence platform, such as Python, R, SAS, MATLAB, Java, or C++.
• Experience using commercial off-the-shelf tools or writing programs to visualize multidimensional data, using tools such as Tableau, ggplot2, Plotly, matplotlib, seaborn, or D3.js.
• Ability to apply, modify, and formulate algorithms and processes to solve challenging problems.
• Ability to obtain and maintain Top Secret/SCI clearance; U.S. citizenship is required for clearance eligibility.
• Availability to work onsite at least three days per week.

Nice To Haves

• Master’s degree in a quantitative field such as Data Science, Computational Social Science, Mathematics, Statistics, Operations Research, Geospatial Science, Computer Science, Software Engineering, or Economics.
• Master’s degree in social or behavioral sciences, such as sociology, psychology, political science, or public health, paired with significant hands-on computational experience.
• Experience leading or conducting research in computational social/behavioral sciences or natural sciences.
• Experience developing models using multiple methodologies.
• Experience leading stakeholder- or funder-facing engagements and providing day-to-day tasking for one or more junior staff.
• Applied experience developing interactive visualizations or configuring dashboards with open-source web technologies such as Angular, Vue, React, or D3.js, or frameworks such as Shiny or Plotly Dash.
• Prior database experience, such as PostgreSQL, Oracle, MySQL, MongoDB, or Neo4j.
• Prior experience developing programmatic solutions in a collaborative environment using tools such as Git, Mercurial, or SVN.
• Familiarity with ArcGIS or other GIS software or analytic tools.
• Experience using notebooks such as Jupyter, R Markdown, or Zeppelin.
• Experience developing data-intensive, full-stack containerized web applications using Node.js, Flask, Django, or other technologies, or demonstrated ability manipulating large datasets and time-series data.
• Comfort with modern AI tools such as large language models and their application, evaluation, and validation.
• Active TS, TS/SCI, or TS/SCI with polygraph clearance.

Responsibilities

• Formulate and develop models and simulations of real-world problems involving complex dynamic systems.
• Develop research questions and test hypotheses in open-ended tasking.
• Work with government sponsors to understand their challenges, evaluate possible solutions, and conduct actionable analyses.
• Support development and application of analytic models to sponsor challenges, adapting and learning in a fast-paced environment.
• Present results intuitively and actionably to audiences regardless of technical expertise.
• Stay current on open-source, industry, academic, and U.S. Government techniques and tools for modeling, analysis, data science, visualization, and engineering.
• Take initiative in owning aspects of assigned work and collaborate with teammates.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level