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Data Science SME

Job in Quantico, Prince William County, Virginia, 22134, USA
Listing for: JCTM, LLC
Full Time position
Listed on 2026-05-23
Job specializations:
  • IT/Tech
    Data Science Manager, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Science SME

Full Time Marine Corps Base Quantico, Quantico, VA, US

6 days ago Requisition

Salary Range: $ To $ Annually

The Challenge:

The effective use of data is central to preparing Marine Corps forces for the future operating environment. What if you could apply your data science expertise to help the Marine Corps Warfighting Lab identify opportunities to improve situational awareness, decision‑making, and operational effectiveness across the Marine Air‑Ground Task Force?

Build Your Career:

At JCTM we value knowledge, experience, integrity and commitment. Joining our team means becoming part of an organization that empowers individuals, prioritizes ethical practices, and fosters a culture of collaboration and growth.

As a Data Science Subject Matter Expert with JCTM you will provide technical expertise and leadership in the application of data science methodologies, tools and techniques to advance Marine Corps war fighting concepts and capabilities. This position requires a deep understanding of data science principles, strong analytical and problem‑solving skills and the ability to translate complex data into actionable insights for operational and senior leader audiences.

You will support the Marine Corps Warfighting Lab in identifying, evaluating and applying emerging data‑driven technologies to improve MAGTF effectiveness.

Key Responsibilities:
  • Serve as the primary technical expert on data science methodologies, tools and techniques for MCWL projects, initiatives, experiments and exercises.
  • Identify and evaluate emerging data science technologies and assess their potential application to Marine Corps war fighting challenges.
  • Develop and implement data‑driven solutions to improve MAGTF operational effectiveness including predictive analytics, machine learning and artificial intelligence applications.
  • Design, execute and optimize data collection, processing and analysis pipelines while ensuring data quality, integrity, governance and security.
  • Develop and apply advanced analytical methods to extract meaningful insights from large structured and unstructured datasets.
  • Collaborate with data engineers, software developers, cloud engineers, operational planners and other technical experts to build, deploy and evaluate data‑driven solutions.
  • Communicate complex technical concepts, findings and recommendations to both technical and non‑technical audiences, including senior military leaders.
  • Conduct research and analysis on relevant data science topics, maintaining awareness of the latest developments, trends, tools and techniques.
  • Support the development of data science training programs and knowledge‑sharing activities for Marine Corps personnel.
  • Participate in war games, experiments, exercises and other operational assessments to evaluate the effectiveness of data‑driven capabilities.
  • Provide expert advice and guidance on data governance, data security, data privacy and responsible use of artificial intelligence and machine learning capabilities.
  • Maintain awareness of and compliance with all applicable data security regulations, policies and classification requirements.
  • Integrate data science capabilities with cloud‑based infrastructure platforms and modern analytics environments.
  • Travel to various locations as required to support MCWL projects, initiatives, experiments and operational activities.
State‑of‑The‑Art Technology:

Expand your expertise by working with cutting‑edge technologies and methodologies, optimizing their application in a dynamic environment.

New

Skills:

Collaborate with a diverse team of technical and functional experts, gaining practical experience with advanced tools, technologies and strategic‑level implementations.

Room to Grow:

You will have opportunities to grow your career and contribute to the company's strategic goals supported by mentorship and a collaborative work environment.

You Have:
  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics or a related technical field.
  • 5+ years of experience applying data…
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