Operations Research/Systems Analysis SME
The Garrett Group
- Nebraska
- Permanent
- Full-time
- Identify and gather pertinent and timely data, deviations, and waivers from operational HQ elements.
- Utilize various database, analytical, and visualization tools to facilitate assessment execution.
- Conduct follow-up data collection via surveys and questionnaires to discern reasons for identified issues.
- Generate reports and presentations to align findings with ongoing assessment efforts or disseminate assessment results.
- Participate in and aid the development and management of assessment Communities of Interest (COIs).
- Provide critical review of documents and develop additional assessments as necessary to address internal and external tasking.
- Support Command Assessment staff during Command Exercises.
- Offer analysis, perspective, and assessments to aid USSTRATCOM's compliance with Joint Staff and OSD Strategic Assessment requirements, which often involve intensive data collection and in-depth qualitative and quantitative analysis.
- Provide critical analyses of Joint Staff and OSD products to USSTRATCOM leadership.
- Support risk analysis for strategic assessments.
- Develop, implement, and instantiate risk assessment models and processes.
- Maintain and utilize various database, analytical, and visualization tools (e.g., SQL, Tableau, R).
- Interpret modeling and simulation results to inform risk assessment and mitigation.
- Aid in modeling and simulation data management.
- Conduct follow-up data collection through the development and distribution of surveys and questionnaires.
- Operations Research/Systems Analysis SMEs must possess a minimum of 7 years of experience in a broad spectrum of operations research methods and techniques.
- Additional qualifications include critical thinking skills, effective communication (written and verbal), strong organizational abilities, familiarity with USSTRATCOM, and at least 2 years' experience conducting mission analysis.
- Understanding of statistical and qualitative data modeling.
- Proficiency in writing models in Python or similar languages.
- Familiarity with machine learning frameworks and libraries.
- Experience with relational databases and implementing models in production environments.
- Familiarity with Agile development processes, setting up and tuning large language models, and cloud-based services.
- Ability to query data using web-based APIs and utilize JSON data format.