Job Information
SMX Data Scientist (5076) in Quantico, Virginia
Data Scientist (5076)at SMX(View all jobs) (https://www.smxtech.com/careers/)
Quantico, VA
The Data Scientist supports our customer’s mission priorities by developing predictive models, analytical solutions, and data-driven insights that directly enable AI use cases such as investigations support, risk detection, and operational intelligence. This role focuses on applied machine learning, statistical modeling, and advanced analytics to transform mission and operational data into actionable intelligence, while partnering closely with data engineers, cloud engineers, and mission subject matter experts.
Essential Duties & Responsibilities:
Develop and validate predictive and statistical models supporting mission use cases
Design and execute exploratory data analysis to identify patterns, risks, and opportunities
Build machine learning models to support investigations, vetting, and mission risk intelligence
Create analytical features and training datasets in coordination with data engineers
Evaluate model performance, bias, and explainability for mission and governance needs
Develop visualizations and analytical products to communicate results to stakeholders
Support AI solution pilots and MVPs through rapid experimentation and iteration
Collaborate with governance and cybersecurity teams to ensure responsible and compliant analytics
Required Skills & Experience
3–5 years of hands-on data engineering experience.
10+ years of technical professional experience.
Experience developing machine learning and statistical models in applied environments
Strong proficiency with Python and common data science libraries (e.g., pandas, scikit-learn, PyTorch, TensorFlow, or equivalent)
Experience performing exploratory data analysis and feature engineering
Experience building data visualizations and analytical products for decision support
Experience working with structured and unstructured data sources
Ability to communicate analytical results clearly to non-technical stakeholders
Experience supporting projects with data governance, privacy, or compliance considerations
Desired Skills & Experience
Experience with risk analytics, investigations, or operational intelligence use cases
Familiarity with responsible AI practices, model governance, and explainability techniques
Experience working with cloud-based data science or AI platforms (e.g., Azure ML or similar)
Experience collaborating in agile or iterative delivery environments
MuleSoft implementation experience.
Application Deadline: April 30, 2026
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The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
The proposed salary for this position is:
$145,000—$195,000 USD
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).