Data Scientist (On site in Tampa, FL)

General Dynamics Information Technology•Tampa, FL

1d•Onsite

About The Position

Deliver insights to help our clients turn data into action as a Data Scientist at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career. At GDIT, people are our differentiator. As a Data Scientist you will help ensure today is safe and tomorrow is smarter. Our work depends a Data Scientist leveraging technical and analytical expertise to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights that can provide a competitive advantage or address a pressing business problem

Requirements

Must be proficient in Python, React (HTML, CSS, JavaScript, TS), and SQL.
Significant experience and understanding of APIs.
Understands and is proficient in the full-stack development process.
Understands data structures, pipelines, and retrieval.
Experience working with databases.
Experience in automating tasks with Python scripting.
Education: Bachelor’s Degree required in Computer Sciences, Applied Math or Science Statistics, Science, Technology, Mathematics, Analytics, or related fields.
Experience: 0-2 years of experience
Security clearance level: No clearance required; accepted candidates will be submitted for TS/SCI. Active TS/SCI eligibility preferred.
US Citizenship Required

Nice To Haves

Active TS/SCI eligibility preferred.

Responsibilities

Performs scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets; develop data-driven solutions to difficult business challenges
Uses expertise in computer science, software development, and the latest technologies to analyze and implement analysis infrastructure and tools, analytic workflow processes, and complex data visualizations.
Leverages knowledge of mathematical and statistical concepts, computer science, or domain expertise to bridge the gap between technologists and mathematicians, ensuring software solutions meet analytic requirements.
Must be able to both manage and manipulate large data sets, develop data science approaches, and manage data science tasks
Develop full-stack responsive web applications using Python and React for task automation, data visualization, and analysis.
Build and integrate APIs tailored to specific tasks and requirements.
Maintain best practices for information, data, and network security throughout development and deployment.