Complex Systems Modeler

The MITRE CorporationNew Bedford, MA
Hybrid

About The Position

At MITRE, you can have both meaningful work and a fulfilling life. MITRE is a not-for-profit corporation chartered to work for the public interest, operating R&D centers for the government in diverse fields like cybersecurity, healthcare, aviation, defense, and enterprise transformation. The Model-Based Analytics Department (L144) is seeking a motivated, creative Complex Systems Modeler to apply modeling, operational analysis, and applied research skills to solve problems of critical national importance. This position offers direct interaction with government leaders in a fast-paced, dynamic atmosphere, with the ability to make a difference and impact outcomes through solid analysis. The department uses data analysis and modeling & simulation to help sponsors understand problem dynamics, evaluate solutions, and identify interventions. They specialize in building deployable tools for sponsors to interact with models and explore causality. The interdisciplinary department values diverse perspectives and expects employees to work on multiple projects, cross-pollinate ideas, and continuously learn, solving modeling and analytic problems in the public interest in partnership with the government, and conducting independent research.

Requirements

  • Minimum of 2 years of computational modeling and analysis experience with Bachelor degree in Data Science, Computational Social Science, Mathematics, Statistics, Operations Research, Geospatial Science, Computer Science, Software Engineering, Economics OR Social/Behavioral Sciences (sociology, psychology, political science, public health) paired with significant computational experience.
  • Ability to obtain and maintain Top Secret clearance.
  • Demonstrated ability to formulate rigorous models based on loosely defined or underspecified 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 writing programs to visualize multi-dimensional data using tools like Tableau, ggplot2, Plotly, matplotlib, seaborn, or D3.js.
  • Ability to apply, modify, and formulate algorithms and processes to solve challenging problems.
  • This position requires a minimum of 50% hybrid on-site
  • Per the U.S. Government’s eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
  • This requisition requires the candidate to have a minimum of the following clearance(s): Secret
  • This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Top Secret

Nice To Haves

  • Masters degree in Data Science, Computational Social Science, Mathematics, Statistics, Operations Research, Geospatial Science, Computer Science, Software Engineering, Economics OR Social/Behavioral Sciences (sociology, psychology, political science, public health) paired with significant computational experience.
  • Experience leading or conducting research in computational social/behavioral sciences or natural sciences.
  • Experience developing models using multiple methodologies.
  • Demonstrated experience leading stakeholder/funder facing engagements and providing relevant day-to-day tasking for one or more junior staff.
  • Applied experience developing interactive visualizations or configuring dashboard applications using open source web technologies (e.g., Angular, Vue, react, D3.js) or other frameworks (e.g., Shiny, Plotly Dash).
  • Prior experience working with databases (e.g., PostgreSQL, Oracle, MySQL, MongoDB, Neo4j).
  • Prior experience developing programmatic solutions in a collaborative environment (e.g., Git, Mercurial, SVN).
  • Familiarity with ArcGIS or other GIS software or analytic tools.
  • Experience using notebooks (e.g., Jupyter, R Markdown, 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 (e.g., large language models) and their application, evaluation, and validation.
  • Active TS or TS/SCI with polygraph.
  • Excellent written and verbal communication skills.

Responsibilities

  • 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.

Benefits

  • Competitive benefits
  • Exceptional professional development opportunities for career growth
  • Culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership.
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