More jobs:
Data Scientist Security Clearance
Job in
Washington, District of Columbia, 20221, USA
Listed on 2026-07-07
Listing for:
Bridge Defense
Full Time
position Listed on 2026-07-07
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Data Scientist
Job Description & How to Apply Below
About Bridge Defense. Bridge Defense is redefining how modern defense technology is delivered. Based in Washington, D.C., we are built for the dynamic mission environment facing the Department of Defense, the Intelligence Community, and federal law enforcement agencies. We provide full-spectrum national security solutions that combine secure infrastructure, cleared talent, and mission-ready software to meet evolving defense challenges. Our services include secure software development in classified environments and the design and implementation of advanced IT and cybersecurity capabilities ranging from secure cloud architectures and enterprise infrastructure to data center operations, scientific analysis, cutting-edge cyber defense, and intelligence analysis.
We are led by technologists and veterans with firsthand mission experience, which enables us to understand both the operational realities and the innovation needed to succeed. Our approach is agile and outcome-based, delivering results in weeks rather than months whenever possible. At Bridge Defense we value people, integrity, and excellence. We foster an environment where innovation thrives in support of traditional mission requirements.
Our team members receive competitive compensation, robust benefits, professional development and certification opportunities, and clear paths for growth while working on the nation’s most critical projects. Core Values:
* Innovation & Responsiveness:
We push beyond legacy models with efficient, tech-led solutions built to scale and evolve.
* Trusted Performance:
Security, compliance, and deep experience in delivering to demanding environments guides all we do.
* Mission Focused Expertise:
From veteran leadership to cleared engineers, our people understand both the technology and the mission.
Essential Duties and Responsibilities:
* Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
* Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
* Duties typically include:
* * Creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
* Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
* Be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
* Have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.
Required Qualifications:
* Bachelor’s degree + 8 years of experience or 12 years of experience in lieu of a degree
* 3+ years of experience with major data science languages, such as Python and R
* 3+ years of experience retrieving, merging, and analyzing structured and unstructured data sources from APIs and databases through Python, R, and/or SQL
* Experience with database design and administration in DBMS such as SQL Server, PostgreSQL, etc.
* Experience with data analytics, data mining, statistical analysis, or AI/ML
Preferred Qualifications:
* Experience with data visualization software, such as Tableau and PowerBI
* Experience conducting data architecture and ETL for the DoD or a federal agency
* Familiarity with HUMINT
* Knowledge of Dev Ops tools and technologies, including git, Jenkins, Sonar Qube, etc.
General Factors:
* Depending on project requirements, may be required to work within a compressed schedule; more than 40-hour work weeks should be expected when schedules demand it.
* Willing to travel, if needed.
* No Relocation.
* Must be able to sit/stand at a desk for long-periods and must be able to lift 20 pounds occasionally.
* Must be able to multi-task and rapidly change priorities with…
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