Job Description

MANTECH seeks a mission-focused, analytically rigorous, and technically strong DATA SCIENTIST to support Marine Corps mission engineering, warfighting analysis, and capability development efforts in STAFFORD, VA.

This is an on-site position supporting government and USMC customers in the evaluation of concepts, capabilities, technologies, and operational approaches through data-driven modeling, simulation, analysis, and technical assessment.

Responsibilities include but are not limited to:

• Review, assess, and help validate data science methodologies, analytical models, and workflows used to support mission engineering, warfighting analysis, and capability assessments.
• Support the evaluation of analytical rigor, data quality, assumptions, metrics, and methodological soundness in data-driven studies, models, and decision-support products.
• Apply quantitative, statistical, and computational methods to assess trends, risks, performance, interoperability, capability gaps, and mission impacts across Marine Corps, Naval, and joint systems and concepts.
• Formulate objective, analytically supported findings and recommendations that inform experimentation, capability development, requirements development, and senior leader decision-making.
• Prepare and deliver technical reports, briefings, visualizations, and other analytic products for government stakeholders, warfighters, engineers, and senior leaders.
• Collaborate effectively across cross-functional teams and, as needed, serve as a program or project lead for small analytic teams supporting mission-focused studies and related efforts

Minimum Qualifications:

• Master’s degree in operations research, data science, statistics, applied mathematics, engineering, computer science, or a related analytical discipline and at least 2 years of experience conducting quantitative analysis, developing or assessing analytical models, or supporting modeling, simulation, and data science efforts. Candidates with a bachelor’s degree are required to have at least 4 years’ experience.
• Experience applying structured analytical methods to complex problems involving multiple variables, objectives, constraints, and uncertainties.
• Experience reviewing or assessing data science methods, analytic workflows, model outputs, or technical approaches for rigor, credibility, and decision-support value.
• Proficiency with analytical and technical tools such as Python, R, MATLAB, SQL, SAS, SPSS, machine learning frameworks, and data visualization platforms.
• Strong written and verbal communication skills, including experience preparing technical reports, analytic briefings, and visualizations for stakeholders and decision-makers.

Preferred Qualifications:

• PhD in Operations Research, Data Science, Statistics, Applied Mathematics, Engineering, Computer Science, or related analytical discipline.
• Experience supporting Marine Corps, Navy, or joint warfighting analysis, mission engineering, concept development, experimentation, capability assessments, or requirements development.
• Familiarity with mission engineering methodology, including mission architecture, mission threads, measures and metrics, and scenario-based analysis.
• Experience conducting trade-off studies, sensitivity analysis, optimization, interoperability assessments, operational effectiveness analysis, or mission-level capability evaluations.
• Familiarity with simulation modeling environments, data management practices, and traceable analytic products that support decision-making.

Clearance Requirements:

• Must possess a current/active TS/SCI security clearance.

Physical Requirements:

• Office work environment with occasional travel to outdoor test and evaluation sites.
• Must be able to remain in a stationary position 50% of the time.
• Needs to occasionally move about inside the office to access file cabinets, office machinery, meeting spaces, and collaborative work areas.
• Frequently communicates with co-workers, management, and customers, including in meetings and presentations.
• Must be able to exchange accurate information in these situations.

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