Data Scientist

KBR, Inc.•Chantilly, VA

12d•$150,000 - $181,000•Onsite

About The Position

The Data Scientist provides Systems Engineering and Technical Assistance (SETA) support to our customer’s mission by evaluating, assessing, and improving advanced analytics capabilities used across intelligence operations. This role focuses on reviewing existing statistical models, machine learning algorithms, and analytic methodologies to ensure they meet mission requirements, performance objectives, and operational needs. The position analyzes complex structured and unstructured datasets to assess algorithm effectiveness, identify optimization opportunities, and recommend enhancements to government stakeholders. The Data Scientist works closely with government personnel, developers, engineers, and analysts to support model validation, performance evaluation, and analytic modernization efforts. This role operates within a classified environment and contributes to the advancement of data-driven intelligence capabilities supporting national security objectives.

Requirements

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field.
6+ years of experience in data science, advanced analytics, machine learning, algorithm evaluation, or a related technical discipline.
Experience evaluating, validating, testing, or improving statistical models, machine learning algorithms, or analytic methodologies.
Proficiency in Python, R, or similar data science programming languages and experience using associated analytical libraries and frameworks.
Active Top Secret clearance with Sensitive Compartmented Information (TS/SCI) access and Current Polygraph.

Nice To Haves

Experience supporting Department of Defense (DoD), Intelligence Community (IC), Space Domain Awareness (SDA), or national security missions.
Experience with machine learning frameworks and model evaluation tools.
Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Intelligence Studies, or a related field.

Responsibilities

Review, assess, and provide recommendations for improving existing statistical models, machine learning algorithms, and analytic workflows supporting Space and Counterspace missions.
Evaluate algorithm performance, accuracy, scalability, and operational effectiveness against mission requirements and customer objectives.
Analyze large, complex datasets from multiple intelligence and operational sources to identify trends, anomalies, and opportunities for analytic enhancement.
Conduct validation and verification activities to ensure analytic models and algorithms produce reliable and reproducible results.
Assess data quality, source integrity, and data management practices that impact algorithm performance and analytic outcomes.
Develop technical assessments, recommendations, and briefing materials to support government decision-making and capability improvements.
Support the integration and evaluation of new data sources, analytic techniques, and modeling approaches within existing mission systems.
Collaborate with government stakeholders, engineers, and data science teams to prioritize improvements and implement approved changes.
Document methodologies, evaluation criteria, findings, and recommendations to support governance, oversight, and mission continuity.
Ensure compliance with security, data governance, and classified environment requirements throughout all analytical activities.