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Data Scientist 102266 with Security Clearance

Information Technology Engineering CorporationChantilly, VA🇺🇸United StatesPosted 21 Jul 2026

Why This Role Stands Out

Leverage your expertise in AI/ML model development and data analysis to contribute to critical mission support with a leading organization, enjoying a hybrid work arrangement and opportunities for mentorship. This role is ideal for a mid-senior data scientist with a strong scientific methodology and a desire to continuously learn and innovate within the technology sector. Apply today to join a reputable team and make a significant impact.

Quick Overview

Work Type
Hybrid
Schedule
Employee
Level
Mid Senior

Job Description

Data Scientist 
Location: Alexandria, VA/Springfield, VA/Arlington, VA/Herndon, VA/Chantilly, VA 
Required Clearance: Secret/Top Secret/Top Secret/SCI  Since 1999, ITEC has delivered mission-critical support to the DoD and Intelligence Community. Now part of ManpowerGroup Public Sector (MGPS), we continue that work with expanded capabilities. Employees hired through this process will join MGPS and receive a comprehensive benefits package and competitive pay.   U.S.

Citizenship Mandatory: Due to our US federal government contract, candidates for this position are required to be a US Citizen and will be subject to a background investigation.

Job Responsibilities:

  • Develop AI/ML models through training, fine-tuning, feature engineering, benchmarking, and deployment preparation.
  • Apply scientific methodology to extract insights and create predictive capabilities from data.
  • Analyze complex datasets to identify patterns and relationships, select and implement appropriate machine learning algorithms for specific problems, and develop feature engineering approaches to improve model performance.
  • Design and execute model validation and testing procedures, tune hyperparameters to optimize model performance, and prepare models for production deployment.
  • Create data visualizations to communicate findings and model results, collaborate with subject matter experts to incorporate domain knowledge, and document methodologies and results.
  • Stay current with advances in data science techniques, evaluate new algorithms and approaches for potential adoption, and mentor junior data scientists.
  • Ensure models meet requirements for accuracy, performance, and explainability, collaborate with AI/ML engineers for model deployment, and participate in data governance activities.
  • Develop and implement data science workflows and methodologies, contribute to research initiatives, and support business stakeholders in interpreting model outputs.

Skills

Machine Learning

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