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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Clearance Required - **Company:** LMI - **Location:** Fayetteville, NC, United States - **Experience:** Expert - **Salary:** $125,144.0 - $195,591.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Continuous Delivery, Continuous Integration, Data Governance, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Operational Data Store, Performance Tuning, Power BI, Backtesting, Web Application Security, Software Engineering, SQL Databases, Tableau (Software), Unstructured Data, Web Applications, Feature Engineering, Retrieval-Augmented Generation, Large Language Models, Model Validation, Generative AI, Information Technology, Machine Learning Operations, Software Version Control, Devsecops - **Published:** August 6, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17835006?backUrl=%2Fcareer%2F17835006%2FData-Scientist-Clearance-Required-North-Carolina-Fort-Bragg ## About the Role * 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. Preferred 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. Target Competencies * Mission Focus * Analytical Rigor * Technical Excellence * Product Ownership * Collaboration and Stakeholder Engagement * Clear Communication * Adaptability and Continuous Learning ## Description Analyze historical operational records, program execution data, and related datasets to identify trends, relationships, anomalies, and key features for predictive modeling. * Clean, normalize, reconcile, label, and transform structured and unstructured data from multiple sources into traceable, machine-learning-ready datasets. * Develop, test, and refine predictive models to forecast resource consumption and annual rate projections with a maximum error margin of 1%. * Apply statistical analysis, feature engineering, time-series forecasting, regression, ensemble methods, and other appropriate techniques to improve model accuracy, reliability, explainability, and operational usefulness. * Establish model validation, back-testing, sensitivity analysis, error analysis, and performance-monitoring methods; document assumptions, limitations, risks, and sources of uncertainty. * Develop natural language processing and generative AI solutions, including large language models tailored to approved business, operational, and intelligence use cases. * Develop projects that automate or augment human cognitive workload and respond rapidly to emerging operational data and data science requirements. * Collaborate with AI/ML engineers, data engineers, software developers, cybersecurity personnel, and mission stakeholders to integrate validated models and analytical outputs into secure web-based applications and enterprise workflows. * Support enterprise synchronization, integration, governance, security, sustainment, and adoption of data science and AI/ML products across multiple mission teams and stakeholder organizations. * Translate complex analytical findings into clear, actionable insights and recommendations for technical teams, program managers, operational users, and senior mission-partner leaders. * Develop and maintain customer-focused data science products, including applications, dashboards, analytical models, and research projects, through their full product life cycle. * Produce analytical reports, dashboards, briefings, and decision-support products that communicate trends, insights, model performance metrics, and recommendations. * Maintain comprehensive documentation of data sources, methodologies, feature definitions, model logic, validation results, system dependencies, workflows, and repeatable analytical processes. * Develop user guides, training materials, demonstrations, and knowledge-transfer products sufficient for a qualified practitioner to assume future operation and sustainment of the application or capability. * Provide rapid-response analytical and product-level staff augmentation based on changes in mission priorities and the operational environment. ## Related Videos - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [DevSecOps: Security in DevOps](https://www.wearedevelopers.com/videos/36-devsecops-security-in-devops) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)