Data Scientist Senior

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 

The Data Scientist will support the Data Stewardship/Tech Talent Program at Fort Bragg, NC. 

MEANINGFUL WORK AND PERSONAL IMPACT 

As a Data Scientist you will be responsible for designing, implementing, and maintaining scalable data pipelines while analyzing complex datasets to drive meaningful insights. You will plan, execute, and manage end‑to‑end machine learning projects using cloud‑native platforms and advanced ML tools. Your work will draw on a broad range of methodologies—such as data mining, natural language processing, and machine learning—to solve challenging problems and enable data‑driven decision‑making. 

As a Data Scientist you will also be responsible for applying strong programming, mathematical modeling, and statistical expertise to build applied models and communicate results clearly to stakeholders. You will work with large structured and unstructured datasets using distributed SQL, relational and non‑relational data technologies, and languages such as Python and R. Your ability to translate analytical findings into actionable organizational value will be essential to success in this role. 

JOB DUTIES (INCLUDE BUT ARE NOT LIMITED TO) 

• Interpret and analyze data using exploratory statistical and mathematical techniques. 

• Clean, prepare, and organize structured and unstructured data using programming tools. 

• Conduct experiments on data and generate insights to solve complex data challenges. 

• Partner with Data Engineers to build and support scalable data environments. 

• Apply scientific methods, statistics, and algorithms to define problems and test hypotheses. 

• Build predictive and prescriptive models, NLP solutions, clustering, forecasting, and other advanced analytics. 

• Design and automate processes for large‑scale data manipulation and integration.