Senior Principal Data Scientist — Onsite, TS/SCI

General Dynamics Information Technology; Arlington (VA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Growth opportunities

Internal mobility support

Competitive pay & PTO

Military-friendly culture

Job summary

IronEagleX, a subsidiary of General Dynamics Information Technology (GDIT), seeks a Senior Principal Data Scientist in Crystal City, VA to transform large, complex data into actionable insights. You will work with analysts, software engineers, and stakeholders to develop analytic methods, build dashboards, and deliver reusable data products.

You will translate results into decision-ready outputs, contribute to repeatable pipelines, and ensure analytically sound, explainable solutions in a

Qualifications

• Strong Python for building analytic solutions and reproducible workflows.
• Extensive SQL and experience with large datasets in modern data platforms.
• Experience applying statistical and ML techniques to real-world data.
• Ability to design repeatable analytic workflows and data transformations.
• Experience with entity resolution, graph/relational analysis, and scoring.

Responsibilities

• Implement structured data analysis across large datasets to surface signals.
• Explore unfamiliar datasets, assess data quality and limitations.
• Develop and maintain analytic tooling to automate workflows.
• Develop applied ML approaches for classification, clustering, anomaly detection, and predictions.
• Establish validation methods, benchmarks, and confidence measures.

Skills

Python

SQL

Statistical methods

Machine learning

Data visualization

Education

Bachelor's degree in Computer Science, Statistics, Engineering, or related field

Tools

Trino

PostgreSQL

Hive

OpenSearch

Elasticsearch

Job description

IronEagleX, a subsidiary of General Dynamics Information Technology (GDIT), seeks a Senior Principal Data Scientist in Crystal City, VA to transform large, complex data into actionable insights. You will work with analysts, software engineers, and stakeholders to develop analytic methods, build dashboards, and deliver reusable data products.

You will translate results into decision-ready outputs, contribute to repeatable pipelines, and ensure analytically sound, explainable solutions in a