Data Scientist (5076)

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

# LI-SA1

 

 

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:

$150,000 - $190,000 USD

 

 

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).

 

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