Data Scientist

Evans & Chambers Technology is seeking a highly motivated Data Scientist to join our team!

Evans & Chambers partners with the US national defense community to create fully integrated, resilient, and innovative digital solutions that enable them to make smart decisions in real-time.

We work with our customers on everything from conquering their data to improving and safeguarding IT infrastructure.

Our ultimate goal?

To enhance our nation's ability to identify, address, and act – no matter what challenges arise.

Responsibilities: - 4-10 plus years’ experience in Data Science or Data Engineering

• Provides comprehensive support for intelligence processing by offering expert guidance on developing solutions for errors detected in collected intelligence data.
• Analyzes inconsistencies, anomalies, and data gaps using advanced analytical tools and machine learning techniques to enhance the accuracy and reliability of intelligence reporting.
• Develops data-driven methodologies to refine data validation processes and optimize error detection within intelligence workflows.
• Assists in researching, understanding, and integrating emerging technologies to improve intelligence processing capabilities and enhance data quality across multiple intelligence disciplines.
• Offers expert guidance on implementing corrective solutions by designing algorithms and automated processes that mitigate systemic errors in intelligence collection.
• Applies statistical modeling, data visualization, and predictive analytics to refine intelligence processing techniques and enhance operational decision-making.
• Works with intelligence teams to develop tailored solutions that address data inconsistencies, improve collection methodologies, and streamline analytical processes.
• Provides structured recommendations to strengthen intelligence processing frameworks, optimize resource utilization, and improve overall intelligence data integrity.
• Actively supports Amentum’s implementation of the B2C2WG (Boards, Bureau, Centers, Cells, and Working Groups) model.