Senior Data Scientist
General Dynamics Information TechnologyAbout the role
Type of Requisition:
RegularClearance Level Must Currently Possess:
Top Secret/SCIClearance Level Must Be Able to Obtain:
Top Secret SCI + PolygraphPublic Trust/Other Required:
NoneJob Family:
Data Science and Data EngineeringJob Qualifications:
Skills:
Analytical Models, Data Analytics, Data Science, Python (Programming Language), Structured Query Language (SQL)Certifications:
NoneExperience:
8 + years of related experienceUS Citizenship Required:
YesJob Description:
YOUR IMPACT
Own your opportunity to work with the largest government agency in the nation. Make an impact by advancing the Department of War’s mission to keep our country safe and secure.
OUR COMPANY
Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology (GDIT), delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments.
JOB DESCRIPTION
Iron EagleX is seeking a Senior Data Scientist to join our dynamic team in Crystal City, VA. This role creates and delivers innovative analytic solutions as a member of a fast-paced, multi-discipline team.
MEANINGFUL WORK AND PERSONAL IMPACT
As a Senior Data Scientist, you will quickly turn large and complex datasets into clear, actionable insights for critical customer requirements.
JOB DUTIES (INCLUDE BUT ARE NOT LIMITED TO)
Implement structured, repeatable data analysis across large, disparate datasets to surface patterns, trends, anomalies, and relationships in support of mission and analytic needs.
Develop, maintain, and improve analytic tooling such as queries, scripts, lightweight services, and reusable code components to automate recurring workflows and enable rapid-turn analysis.
Build and enhance interactive analytic dashboards and lightweight GUIs, such as Streamlit applications, that support data exploration, linkage review, analyst workflows, and generation of structured outputs.
Create analyst-ready products, including tables, visualizations, summaries, briefings, and structured exports, that translate technical findings into clear, decision-oriented insights.
Work with analysts, engineers, and technical staff to convert ad hoc analyses into reusable pipelines, standardized methodologies, documented workflows, and maintainable analytic capabilities.
Support the integration, testing, and refinement of analytic methods in operational environments, ensuring outputs are reliable, reproducible, and usable by both technical and non-technical stakeholders.
REQUIRED SKILLS:
Strong Python skills for building practical analytic solutions, including data processing, automation, visualization, and
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