cover image
U.S. Department of Homeland Security

U.S. Department of Homeland Security

www.dhs.gov

1 Job

36,026 Employees

About the Company

The Department of Homeland Security (DHS) has a vital mission: to secure the nation from the many threats we face. This requires the hard work of more than 260,000 employees in jobs that range from aviation and border security to emergency response, from cybersecurity analyst to chemical facility inspector.

Our duties are wide-ranging, and our goal is clear - keeping America safe.

Mission 1: Counter Terrorism and Homeland Security Threats
Mission 2: Secure U.S. Borders and Approaches
Mission 3: Secure Cyberspace and Critical Infrastructure
Mission 4: Preserve and Uphold the Nation's Prosperity and Economic Security
Mission 5: Strengthen Preparedness and Resilience
Mission 6: Champion the DHS Workforce and Strengthen the Department

We continually strengthen our partnerships with communities, first responders, law enforcement and government agencies - at the state, local, tribal, federal and international levels. We are accelerating the deployment of science, technology, and innovation in order to make America more secure. And we are becoming leaner, smarter, and more efficient, ensuring that every security resource is used as effectively as possible.

Together, we are committed to relentless resilience, striving to prevent future attacks against the United States and our allies, responding decisively to natural and man-made disasters, and advancing American prosperity and economic security long into the future.

Listed Jobs

Company background Company brand
Company Name
U.S. Department of Homeland Security
Job Title
Data Scientist
Job Description
Job title: Data Scientist Role Summary: Within a national security environment, the Data Scientist supports decision‑making by analyzing and modeling complex aviation and maritime datasets. The role collaborates closely with senior analysts and management to generate objective insights that inform operational and strategic initiatives. Expactations: - Deliver rigorous, data‑driven analyses that guide senior leadership. - Translate technical findings into actionable recommendations. - Maintain confidentiality and adhere to government data policies. - Participate in cross‑functional teams to enhance data initiatives. Key Responsibilities: - Collect, clean, and validate large, heterogeneous datasets from air and maritime sources. - Develop statistical models, machine learning algorithms, and predictive analytics to uncover trends and anomalies. - Prepare dashboards, visualizations, and written reports tailored to non‑technical stakeholders. - Benchmark performance metrics and evaluate model accuracy. - Collaborate with subject‑matter experts to define analytics requirements and project scope. - Document methodology, assumptions, and results for regulatory compliance. - Provide technical mentorship to junior analysts and contribute to continuous improvement of analytical pipelines. Required Skills: - Advanced proficiency in quantitative programming (Python, R, or similar). - Expertise in statistical modeling, machine learning, and data mining techniques. - Experience with big‑data tools (e.g., Hadoop, Spark) and relational/NoSQL databases. - Strong analytical and problem‑solving abilities. - Excellent communication skills, both written and verbal; ability to translate complex concepts for diverse audiences. - Familiarity with secure data handling and compliance frameworks. Required Education & Certifications: - Bachelor’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field. - Master’s degree preferred for advanced modeling roles. - Professional certifications (e.g., SAS Certified Data Scientist, Microsoft Certified: Azure Data Scientist Associate) are advantageous. ---
Washington dc, United states
On site
16-01-2026