TS/SCI Poly AI/ML Engineer – Security Data Scientist

General Dynamics Information Technology; Herndon (VA); On-site; USD 111,000 - 150,000; Full time

Benefits offered by this job

401K with company match

Paid time off

Military-friendly workplace

Job summary

General Dynamics Information Technology in Herndon, VA, seeks an AI/ML Engineer/Data Scientist to join a large-scale National Intelligence program. This role requires TS/SCI clearance with poly, and 5+ years of data analysis for Senior or 15+ for SME, along with expertise in big data, ML, and data integration.

You will analyze complex data sets, build predictive models, and collaborate with cross-functional teams to drive data-driven decisions that matter for national security.

Qualifications

• Bachelor's degree in Data Science or related field; 5+ years in Data Analysis.
• Master's degree in Data Science or related field; 15+ years in Data Analysis.
• Active TS/SCI clearance with polygraph.

Responsibilities

• Analyze complex data sets to identify trends and inform business decisions.
• Apply advanced statistical and ML techniques to drive insights.
• Develop and evaluate data-driven solutions and communicate findings to stakeholders.
• Collaborate with cross-functional teams to integrate insights into operations and strategy.
• Stay current with emerging tools and technologies in data science.

Skills

Big Data

Business Solutions

Datasets

Education

Bachelor's degree in Data Science or related

Master's degree in Data Science or related

Tools

SQL Server

Exadata

Oracle

GoldenGate

Oracle TDE

PostgreSQL

Hadoop

Elasticsearch

Cloud databases

Job description

General Dynamics Information Technology in Herndon, VA, seeks an AI/ML Engineer/Data Scientist to join a large-scale National Intelligence program. This role requires TS/SCI clearance with poly, and 5+ years of data analysis for Senior or 15+ for SME, along with expertise in big data, ML, and data integration.

You will analyze complex data sets, build predictive models, and collaborate with cross-functional teams to drive data-driven decisions that matter for national security.