Associate Complex Systems Modeler
About the role
with paragraphs covering MITRE mission and department description.Responsibilities
with- items from Roles & Responsibilities.
Requirements
maybe combine Basic Qualifications and clearance/citizenship/onsite requirement? Could separate Basic Qualifications and Preferred Qualifications as Skills? But we can have Requirements for Basic Qualifications and maybe a separate section for Preferred Qualifications? The instruction: prefer a few substantive sections over many thin ones. Could combine Basic and Preferred under Requirements? But they are distinct. Could have Requirements (Basic) and Preferred Qualifications (maybe under Skills). However we have Skills section for technical skills; but we already have many skills listed in Basic Qualifications. Could make a Skills section for the technical skills (programming languages, tools). But the instruction: Usefor section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have Requirements, Qualifications, Skills. Let's map: - About the role: introductory paragraphs. - Responsibilities: the bullet list. - Requirements: Basic Qualifications (including education, communication skills, modeling ability, data manipulation, etc.) plus citizenship and clearance eligibility? Could include clearance requirement as part of Requirements. - Qualifications: Preferred Qualifications (lead research, stakeholder facing). - Skills: maybe the technical skills list (programming languages, tools, AI tools). But many of those are already in Basic Qualifications. Could still create Skills section for those specific tools/languages. However we must not repeat content? It's okay to repeat? Probably better to keep them under Requirements as they are qualifications. But we have a separate Skills heading allowed. Might be better to put the technical skills under Skills, and keep Requirements for education/experience/communication. Let's see. Basic Qualifications includes: Bachelor’s degree in quantitative field ... OR Bachelor’s degree in social/behavioral sciences paired with significant computational experience. Excellent written and verbal communication skills. Demonstrated ability to apply, modify, and formulate rigorous models and processes to solve challenging problems. Applied expertise or academic experience in leveraging analytic methods towards solving interdisciplinary problems with structured and unstructured data. Experience manipulating large datasets with at least one modern programming language or business intelligence platform (e.g., Python, R, MATLAB, Java, Julia, SAS, C++, JavaScript). Experience leveraging commercial-off-the-shelf (COTS) tools or open-source libraries to visualize multi-dimensional data and conduct analysis, like Tableau, PowerBI, arcGIS, Neo4j, git, ggplot2, R Shiny, dash, Plotly, Jupyter, matplotlib, seaborn, leaflet, or D3.js. Comfort with modern AI tools (e.g., large language models) and their application, evaluation, and validation. Must be eligible to obtain and maintain a Top Secret U.S Government issued Security 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 3 days a week on-site. Preferred Qualifications: Experience leading or conducting research in computational social/behavioral sciences, geospatial sciences, natural sciences, or economics. Demonstrated experience leading stakeholder/funder facing engagements and providing relevant day-to-day tasking for one or more junior staff or colleagues. Thus we could have: - Requirements: Education, communication, modeling ability, data manipulation experience, citizenship, clearance eligibility, onsite requirement. - Skills: Programming languages, tools, AI tools (maybe as list). - Qualifications: Preferred Qualifications. Pay: Salary range. Schedule: Onsite requirement (maybe duplicate with onsite but we can mention 3 days a week onsite). Could combine schedule and location. We must not create sections with filler. So we need actual content. Let's craft HTML:
About the role
At MITRE, your passion fuels work that impacts our nation and improves lives. This is where your skills strengthen national security, cybersecurity, health, transportation, and citizen services. We’re a nonprofit engineering, applied research, and advanced technology organization working in the public interest. With objectivity and integrity at our core, we lead federally funded research and development centers for U.S. government agencies – collaborating with industry and academia to deliver integrated, high-impact solutions that advance our nation’s health, security, and prosperity. Our people tackle the toughest technical challenges, supported by competitive benefits, meaningful career development, and a culture of innovation, collaboration, and technical excellence. Choose MITRE for a career with purpose — and help shape the future.
MITRE’s Complex Systems Department (L644) is seeking a motivated, creative Associate 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!
Responsibilities
- Be passionate about formulating and developing models, simulations, and analytic tools 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.
Requirements
- Bachelor’s degree in quantitative field such as Data Science, Computational Social Science, Mathematics, Statistics, Operations Research, Geospatial Science, Computer Science, Software Engineering, Economics; OR Bachelor’s degree in social/be