Description
If you are graduating with a PhD in Statistics, Physics, Mathematics, Computer Science, or a related field, we would love to have you join our team! We are seeking a new PhD graduate with expertise in statistics to support multi-disciplinary teams performing a variety of quantitative tasks for defense and national security applications. You will be joining a diverse team of engineers, software developers, statisticians, data scientists, and analysts who are committed to advancing the state-of-the-art in performance evaluation of the nation's strategic weapons systems throughout their lifecycle.
As a member of our team, you will...- Work with multi-disciplinary teams to support development of data collection, processing, and analysis efforts to assess the performance of a number of systems supporting the Navy and Air Force.
- Develop and evaluate statistical models for complex defense applications, including uncertainty quantification, inference, forecasting, and decision support.
- Apply statistical reasoning for data-driven studies, selecting appropriate methods (e.g., Bayesian or frequentist approaches) based on the problem.
- Quantify and communicate uncertainty, assumptions, and limitations to support sound decision-making in complex, real-world setting.
- Use internal funding opportunities to shape the direction of future research.
- Communicate technical knowledge by articulating ideas clearly through papers and presentations to technical staff, management, and government decision makers.
Qualifications
You meet our minimum qualifications for the job if you...- Have a PhD in Data Science, Statistics, Physics, Mathematics, Computer Science or a related field.
- Demonstrate strong interpersonal skills and the ability to work independently and on a team.
- Have strong foundations in statistical inference, probability, statistical modeling, and experimental design.
- Have experience using scientific programming tools such as Python, R, or similar languages for quantitative analysis.
- Have experience investigating and adapting modern statistical and computational methods to address emerging analysis challenges in sparse, noisy, or high-dimensional data setting.
- Demonstrate experience with statistical modeling, inference, or experimental design approaches such as Bayesian methods, regression, causal inference, or hypothesis testing...
- Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You will go above and beyond our minimum requirements if you...- Have experience in project management or leading technical teams.
- Have experience in writing technical proposals, particularly to government research projects.
- Have experience mentoring students, teaching, or communicating complex technical concepts in academic, research, or professional settings.
- Have contributed to peer-reviewed publications, technical reports, or presentations in statistics, machine learning, applied mathematics, or related fields.
- Have experience using probabilistic programming frameworks such as Stan, PyMC, or similar tools.
- Have research or professional experience developing reproducible analytical workflows, computational research tools, or statistical methodologies for complex quantitative problems.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually
