Senior AI/ML Engineer — TS/SCI Poly

General Dynamics Information Technology; Herndon (VA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

401K with company match

Paid time off

Comprehensive benefits

Job summary

General Dynamics Information Technology is seeking an AI/ML Engineer/Data Scientist Senior to analyze large data sets, build predictive models, and deliver data-driven insights for a National Intelligence program. The role requires a TS/SCI clearance with poly and US citizenship, with onsite work in Herndon, VA.

The candidate will collaborate across teams to integrate insights into business operations, stay updated on emerging tools, and communicate findings to stakeholders.

Qualifications

• Bachelor's degree or higher in Data Science or related field.
• Master's degree preferred for SME track.
• Active TS/SCI clearance with poly and US citizenship required.

Responsibilities

• Analyze data sets to identify trends and build predictive models.
• Apply statistical and ML techniques to derive business insights.
• Develop data-driven solutions and present findings to stakeholders.
• Collaborate with cross-functional teams to implement insights in operations and strategy.
• Stay current with emerging data science tools and methods.

Skills

Data Analysis

Machine Learning

Communication of findings

Education

Bachelor's degree in Data Science or closely related field

Master's degree in Data Science or closely related field

Tools

SQL Server Internals

SQL Server Indexing

SQL Server Backups/Recovery

Exadata

Oracle

GoldenGate

Oracle TDE

Postgres

Hadoop

Elasticsearch

Cloud databases

Job description

General Dynamics Information Technology is seeking an AI/ML Engineer/Data Scientist Senior to analyze large data sets, build predictive models, and deliver data-driven insights for a National Intelligence program. The role requires a TS/SCI clearance with poly and US citizenship, with onsite work in Herndon, VA.

The candidate will collaborate across teams to integrate insights into business operations, stay updated on emerging tools, and communicate findings to stakeholders.