Analysts, Data Science/Mining, Operations Research Professionals
RAND is seeking highly motivated analysts to employ specialized modeling and simulation, and data analysis skills to support some or all phases of research as part of multi-disciplinary teams. Modeling & Simulation Analysts are expected to help develop approaches for using quantitative analysis to address complex policy problems; collect or simulate, clean, organize, analyze, and visualize data; and help communicate visual and written results of these analyses to internal and external audiences.
Modeling & Simulation Analysts are proficient in using one or more programming languages and data analysis/visualization/simulation packages. These analysts may demonstrate depth of knowledge in one or more types of military simulations.
Successful applicants will have experience using one or more programming languages and data analysis/visualization/simulation packages (e.g., C++, C#, Python, R, Java, SQL, Visual Basic, SAS, MatLab, Mathematica, Stata, NetLogo, Octave, Anaconda, Keras, TensorFlow, Hadoop, BigML, Pandas, Tableau, Sigma JS, MS Visio). Additionally, knowledge of at least one type of military simulation program (e.g., Advanced Framework for Simulation, Integration and Modeling – AFSIM, Joint Conflict and Tactical Simulation – JCATS, One Semi-Automated Forces – OneSAF, or Synthetic Theater Operations Research Model – STORM) is strongly preferred.
Successful applicants will have no more than five years of professional or academic experience post-master’s degree.
Successful applicants will also submit evidence of strong communication skills (such as documentation of theses, publications, conference presentations, coursework, and/or examples of communication tasks during prior employment), and the ability to work in a team environment (through noting team-based coursework, internships, prior employment that included teamwork, experience in a research laboratory, etc.).
A master’s degree is required; a thesis or capstone project is preferred. Preferred degrees include applied mathematics, computer science, engineering, operations research, data science, and physical sciences. A research internship or professional experience in a research-related area is preferred.
Successful applications will include documentation in the application package of academic and professional activities that meet stated qualifications and education requirements.
This position requires the ability to obain and maintain a U.S. security clearance, for which U.S. citizenship is needed.
Santa Monica, CA; Washington, DC; Pittsburgh, PA
Writing Sample Required
A writing sample of three pages or more is required for this position. Single-authored, non-professionally edited pieces are preferred. Applicants are encouraged to use pieces that have been published in academic or other journals but may use master’s theses or papers written for coursework, prior employment, or internships. Please click on "How to Apply" for further instructions regarding the writing sample.
The RAND Corporation is a research organization that develops solutions to public policy challenges to help make communities throughout the world safer and more secure, healthier and more prosperous. RAND’s research and analysis address issues that impact people everywhere, including security, health, education, sustainability, growth, and development. Headquartered in Santa Monica, California, RAND has approximately 1,950 people from more than 50 countries working in offices in North America, Europe and Australia, with annual revenues of more than $357 million.
RAND is nonprofit, nonpartisan, and committed to the public interest. Our research is sponsored by government agencies, international organizations, and foundations. We rely on philanthropic support to pursue visionary ideas; address critical problems that are under-researched; and devise innovative approaches for solving acute, complex, or provocative policy challenges. RAND values objectivity and integrity in both its research processes and internal interactions. We emphasize a collegial environment that respects the contributions and dignity of all staff.
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