
Data Scientist
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Requirements
Credentials this posting asks for.
Job overview
The Data Scientist will analyze operational and program data, build and validate predictive models, and develop NLP and generative AI solutions for mission use cases. The role integrates analytical products into secure applications and workflows, communicates findings to technical and operational stakeholders, and supports product governance, sustainment, and adoption. It requires an active Secret clearance, a quantitative bachelor’s degree, and at least five years of relevant professional experience.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Job Title: Data Scientist
Location: Fort Liberty, North Carolina
Type: Direct Hire
Work Model: Onsite
Security Clearance: Active Secret security clearance with the ability to obtain a Top Secret clearance.
Responsibilities
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Analyze historical operational records, program execution data, and related datasets to identify trends, relationships, anomalies, and key features for predictive modeling.
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Clean, normalize, reconcile, label, and transform structured and unstructured data from multiple sources into traceable, machine-learning-ready datasets.
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Develop, test, and refine predictive models to forecast resource consumption and annual rate projections with a maximum error margin of 1%.
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Apply statistical analysis, feature engineering, time-series forecasting, regression, ensemble methods, and other appropriate techniques to improve model accuracy, reliability, explainability, and operational usefulness.
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Establish model validation, back-testing, sensitivity analysis, error analysis, and performance-monitoring methods; document assumptions, limitations, risks, and sources of uncertainty.
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Develop natural language processing and generative AI solutions, including large language models tailored to approved business, operational, and intelligence use cases.
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Develop projects that automate or augment human cognitive workload and respond rapidly to emerging operational data and data science requirements.
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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.
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Support enterprise synchronization, integration, governance, security, sustainment, and adoption of data science and AI/ML products across multiple mission teams and stakeholder organizations.
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Translate complex analytical findings into clear, actionable insights and recommendations for technical teams, program managers, operational users, and senior mission-partner leaders.
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Develop and maintain customer-focused data science products, including applications, dashboards, analytical models, and research projects, through their full product life cycle.
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Produce analytical reports, dashboards, briefings, and decision-support products that communicate trends, insights, model performance metrics, and recommendations.
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Maintain comprehensive documentation of data sources, methodologies, feature definitions, model logic, validation results, system dependencies, workflows, and repeatable analytical processes.
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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.
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Provide rapid-response analytical and product-level staff augmentation based on changes in mission priorities and the operational environment.
Requirements
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Active Secret security clearance with the ability to obtain a Top Secret clearance.
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Ability to work on-site at Fort Bragg, North Carolina.
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Bachelor’s degree in data science, statistics, mathematics, computer science, operations research, engineering, or a related quantitative field.
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Five or more years of professional experience applying data science, advanced analytics, statistical modeling, or machine learning to complex real-world problems.
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Demonstrated experience developing and validating predictive models, including time-series, regression, ensemble, or comparable forecasting methods.
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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.
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Strong knowledge of statistical analysis, feature engineering, model selection, hyperparameter tuning, cross-validation, error analysis, and performance measurement.
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Experience preparing large, incomplete, inconsistent, structured, and unstructured datasets for repeatable analysis and model training.
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Experience with natural language processing, generative AI, large language models, or retrieval-augmented generation in an applied environment.
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Ability to evaluate model performance against stringent accuracy requirements and clearly communicate tradeoffs, risks, assumptions, and limitations.
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Experience producing technical documentation, analytical reports, dashboards, briefings, and recommendations for technical and non-technical stakeholders.
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Strong written and verbal communication skills and the ability to collaborate across data, engineering, software, security, governance, and operational teams.
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Ability to independently manage multiple priorities and deliver high-quality analytical products in a fast-paced, mission-focused environment.
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Master’s degree or doctorate in data science, statistics, mathematics, computer science, operations research, engineering, or a related quantitative field.
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Experience supporting SOCOM, U.S. Special Operations Forces, the Department of War, or another national security mission partner.
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Experience developing models for resource consumption, demand, readiness, utilization, program execution, or annual planning forecasts.
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Experience integrating analytical models into production web applications through APIs, services, containers, or reusable software components.
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Familiarity with MLOps, DevSecOps, model monitoring, version control, automated testing, and continuous integration and continuous delivery practices.
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Experience with secure cloud analytics environments such as AWS GovCloud or Azure Government and data visualization platforms such as Power BI or Tableau.
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Familiarity with Agile delivery methods and experience working in cross-functional product or software development teams.
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Experience supporting data governance, model governance, application sustainment, user adoption, and knowledge transfer for government data products.
System One, and its subsidiaries including Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
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System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
How this job compares
Set against the 4,929 open Data Scientist jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This postingNot listed
- North Carolina median$118–205K/yr78 salary ranges
- US median$55–70/hr142 hourly ranges
- Openings
- Olive Jobs lists 113 open Data Scientist jobs in North Carolina and 4,929 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (4,225 postings).
- Education
- This posting asks for a bachelor's degree; 2,422 of the 4,929 open Data Scientist jobs (49%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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