Data Scientist - Clearance Required
$125,144–$195,591 year
On-siteFort Bragg, North Carolina, United States
Job Summary
Analyze historical operational records and transform structured and unstructured datasets into machine-learning-ready formats for predictive modeling. Develop, test, and refine statistical models to forecast resource consumption with a maximum error margin of 1%, applying feature engineering and time-series techniques to improve accuracy. Build natural language processing and generative AI solutions, including large language models, while collaborating with engineers to integrate validated outputs into secure web-based applications. Translate complex analytical findings into actionable insights and produce reports, dashboards, and documentation for mission stakeholders. Provide rapid-response staff augmentation based on changing mission priorities within a cross-functional product team supporting Special Operations Command.
Required Qualifications
- Active Secret security clearance with the ability to obtain a Top Secret clearance
- Ability to work on-site at Fort Bragg, North Carolina
- Bachelor's degree in data science, statistics, mathematics, computer science, operations research, engineering, or a related quantitative field
- Five or more years of professional experience applying data science, advanced analytics, statistical modeling, or machine learning to complex real-world problems
- Demonstrated experience developing and validating predictive models, including time-series, regression, ensemble, or comparable forecasting methods
- Advanced proficiency with Python and SQL and practical experience with common data science and machine learning libraries; proficiency with R or a comparable analytical language may substitute where appropriate
- Strong knowledge of statistical analysis, feature engineering, model selection, hyperparameter tuning, cross-validation, error analysis, and performance measurement
- Experience preparing large, incomplete, inconsistent, structured, and unstructured datasets for repeatable analysis and model training
- Experience with natural language processing, generative AI, large language models, or retrieval-augmented generation in an applied environment
- Ability to evaluate model performance against stringent accuracy requirements and clearly communicate tradeoffs, risks, assumptions, and limitations
- Experience producing technical documentation, analytical reports, dashboards, briefings, and recommendations for technical and non-technical stakeholders
- Strong written and verbal communication skills and the ability to collaborate across data, engineering, software, security, governance, and operational teams
- Ability to independently manage multiple priorities and deliver high-quality analytical products in a fast-paced, mission-focused environment
- US Citizens
- Applicants with security clearances or applicants who are eligible for security clearances
Desired Qualifications
- Master's degree or doctorate in data science, statistics, mathematics, computer science, operations research, engineering, or a related quantitative field
- Experience supporting SOCOM, U.S. Special Operations Forces, the Department of War, or another national security mission partner
- Experience developing models for resource consumption, demand, readiness, utilization, program execution, or annual planning forecasts
- Experience integrating analytical models into production web applications through APIs, services, containers, or reusable software components
- Familiarity with MLOps, DevSecOps, model monitoring, version control, automated testing, and continuous integration and continuous delivery practices
- Experience with secure cloud analytics environments such as AWS GovCloud or Azure Government and data visualization platforms such as Power BI or Tableau
- Familiarity with Agile delivery methods and experience working in cross-functional product or software development teams
- Experience supporting data governance, model governance, application sustainment, user adoption, and knowledge transfer for government data products
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