Data Scientist

General Dynamics Information Technology

7h • $110,500 - $149,500 • Onsite

About The Position

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 Senior will support the SOCOM Data Technical Support (DTS) Program in Fort Bragg, NC. MEANINGFUL WORK AND PERSONAL IMPACT As a Data Scientist, you will play a pivotal role in shaping innovative solutions and making a tangible impact through analytical insights and technical expertise. You will leverage your skills in Python programming, SQL, and large-scale data systems to build and deliver Python-based analytic services and web-based GUIs. With hands-on experience in tools such as Docker, Linux, FastAPI, and CI/CD pipelines, you will help advance machine learning applications and automated data processes that integrate data from diverse sources, including Commercially Available Information (CAI), Publicly Available Information (PAI), and classified datasets. The outcomes of your work will lead to meaningful contributions in areas such as entity resolution, graph/relational reasoning, and applied statistics, driving real-world results for the mission.

Requirements

• Proficient in broad machine learning concepts such as supervised and unsupervised.
• Proficient in Python, Bash, Docker and Git.
• Proficient in working with APIs using Python.
• Proficient in software testing in Python.
• Current DoW TS/SCI Clearance is required
• 5 years of related experience
• Bachelor’s degree in Computer Science, Statistics, Engineering, or a related field (or equivalent experience)
• Onsite
• Due to US Government Contract Requirements, only US Citizens are eligible for this role

Nice To Haves

• Demonatable projects using AI/ML to solve problems.
• Proficient in setting up Flask and FastAPI.
• SCRUM/AGILE

Responsibilities

• Build Python-based analytic services and web-based GUIs.
• Leverage expertise in Python packages, APIs/services, packaging, and dependency management.
• Develop and implement automated data linking methodologies across structured, semi-structured, and unstructured data.
• Design, build, and maintain machine learning applications with Python and Streamlit.
• Perform exploratory data analysis (EDA) on CAI/PAI and classified sources.
• Integrate data from APIs, databases, and other sources into unified applications.
• Productionize machine learning models using tools such as FastAPI, CI/CD pipelines, Docker, and Linux.
• Work with large-scale systems, including Trino, PostgreSQL, and Hive.
• Utilize data science tools such as NumPy, SciPy, pandas, scikit-learn, and Matplotlib.
• Apply expertise in entity resolution, graph/relational reasoning, and applied statistics.
• Manage the full lifecycle of data processes, from ingestion to model deployment.

Benefits

• Growth: AI-powered career tool that identifies career steps and learning opportunities
• Support: An internal mobility team focused on helping you achieve your career goals
• Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay and paid time off
• Community: Award-winning culture of innovation and a military-friendly workplace
• Comprehensive benefits and wellness packages
• 401K with company match
• paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
• short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level