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Department Summary:

MITRE’s Model-Based Analytics Department (L144) 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:

Typically requires 1 year of experience with a Bachelor degree in quantitative field such as Data Science, Computational Social Science, Mathematics, Statistics, Operations Research, Geospatial Science, Computer Science, Software Engineering, Economics and/or Social/Behavioral Sciences (sociology, psychology, political science, public health) paired with significant computational experience.
Excellent written and verbal communication skills.
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.
Active Secret clearance
Per the U.S. Government’s eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
This position requires a minimum of 50% hybrid on-site

Preferred Qualifications:

Master’s degree in quantitative field such as Data Science, Computational Social Science, Mathematics, Statistics, Operations Research, Geospatial Science, Computer Science, Software Engineering, Economics and/or Social/Behavioral Sciences (sociology, psychology, political science, 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.
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 Top Secret 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

Salary compensation range and midpoint:

$80,000 - $100,000 - $120,000 Annual

Work Location Type:

Hybrid

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.

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Complex Systems Modeling Analyst

Complex Systems Modeling Analyst

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