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Company | Booz Allen Hamilton |
Address | Honolulu, HI, United States |
Employment type | FULL_TIME |
Salary | |
Category | IT Services and IT Consulting |
Expires | 2023-09-08 |
Posted at | 9 months ago |
Job Number: R0171324
- Experience with deploying and maintaining user-facing and user-accessible models
- Knowledge of research design principles, appropriate analytic methods, and methodological tools in applied mathematics, computer programming, or data visualization
- HS diploma or GED and 22+ years of experience with data science, Bachelor’s degree and 18+ years of experience with data science, or Master’s degree and 10+ years of experience with data science
- TS/SCI clearance
- Experience with data cleansing, data analytics, inferential statistics, programming, data visualization, and system integration to provide data solutions
- 8+ years of experience with using programming languages to manipulate and analyze data, including Python, R, SQL, SAS, MATLAB, or Microsoft Excel
- Ability to perform shift work
- Ability to apply supervised and unsupervised machine learning algorithms on structured and unstructured datasets
- 2+ years of experience working within the Intelligence Community
- Experience with developing data visualizations, dashboards, or lightweight web applications to communicate key insights
- Experience with project management, project planning, and technical documentation
- Knowledge of psychometric theory and assessment validation methodologies, including Item Response Theory and Factor Analysis
- Master’s degree in Statistics, Mathematics, Operations Research, or Computer Engineering
- Knowledge of data strategy and data governance
- Ability to advise clients on the acquisition of data, data management, and data infrastructure
- Ability to execute projects and tasks with minimal guidance and supervision
- If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
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