Launch Your Career as a Data Scientist with the NGA
The National Geospatial-Intelligence Agency (NGA) is at the forefront of national security, providing vital intelligence through advanced imagery and geospatial analysis. As the world generates unprecedented amounts of data, the NGA is looking for expert Data Scientists to turn that information into actionable intelligence. This role is not just about crunching numbers; it is about protecting the nation through innovation.
Job Responsibilities
Data Scientists at the NGA work on diverse missions. Your daily responsibilities will include:
- Developing machine learning and computer vision models.
- Analyzing large, complex datasets to identify trends.
- Collaborating with GEOINT analysts to solve mission problems.
- Translating technical findings into briefs for non-technical leadership.
Requirements
To qualify for this position, you must meet the following baseline standards:
- Citizenship: U.S. Citizenship is mandatory.
- Security: You must be eligible for a Top Secret/SCI clearance and pass a polygraph.
- Education: A degree in a relevant scientific or technical field.
- Technical Skills: Proficiency in Python, R, or SQL.
Qualification Comparison
| Criteria | Mandatory | Desirable |
|---|---|---|
| Programming | Python, R, SQL | Advanced Scripting |
| Statistics | 6+ Sem. Hours | Advanced Modeling |
| Communication | Technical Writing | Stakeholder Engagement |
| Visualization | Basic Reporting | Tableau, Matplotlib |
Salary and Benefits
The NGA offers a highly competitive salary range ($76,573 - $158,322) based on the Defense Civilian Intelligence Personnel System (DCIPS). Benefits include robust retirement, health insurance, and potential recruitment incentives for qualified individuals.
How to Apply
- Visit the official NGA Careers portal.
- Use the NGA resume builder (2-page limit).
- Submit your application online before the expiration date.
If you are a Data Scientist looking to make a real-world impact, the NGA offers a unique and challenging path. Start your application today to join a team dedicated to safeguarding the future.
Why This Data Scientist (Open Continuous) Job Matters
Transform national security through data: The National Geospatial-Intelligence Agency is seeking innovative Data Scientists to join their mission-critical intelligence team.
Data Scientist (Open Continuous) Job Overview
The National Geospatial-Intelligence Agency (NGA) is building a talent pool for future Data Scientist opportunities. These roles involve applying advanced statistical, mathematical, and machine learning techniques to complex datasets, including GEOINT mission data, imagery, and computer vision outputs. You will work within integrated teams to develop models, solve business and technical challenges, and provide actionable insights that directly support the nation's defense and intelligence operations.
Requirements for Data Scientist (Open Continuous)
- U.S. Citizenship
- Must be able to obtain and maintain a Top Secret security clearance with SCI access
- Must successfully complete a Counterintelligence Polygraph examination and drug test
- Bachelor's degree in a quantitative field (Mathematics, Statistics, Computer Science, GIS, etc.) with at least 6 hours in statistics and 9 hours in scientific coursework
- Alternatively, a combination of education and experience totaling 4 years
- Demonstrated proficiency in programming languages such as Python, R, or SQL
- Experience in exploratory data analysis, classification, regression, and statistical analysis
Preferred Qualifications for Data Scientist (Open Continuous)
- Proven ability to communicate technical concepts to non-technical stakeholders
- Experience collaborating across diverse functional teams
- Proficiency in advanced analytic techniques such as clustering, data reduction, or causal modeling
- Expertise in data visualization software and techniques (e.g., Tableau, matplotlib)
Federal Benefits & Perks
- ✓Competitive federal salary with potential annual performance bonuses
- ✓Comprehensive health and life insurance options
- ✓Generous retirement plans
- ✓Paid vacation and federal holidays
- ✓Recruitment incentives may be available for eligible candidates
- ✓Professional development and training opportunities within the intelligence community
💡 How to Apply Data Scientist (Open Continuous) Job & Insider Tips
Application Steps for Data Scientist (Open Continuous) Job
- Navigate to the NGA Careers Portal to register your account.
- Utilize the NGA-specific resume builder to construct a document of no more than 2 pages.
- Clearly articulate how your background maps to the mandatory qualifications.
- Attach supporting documents, including a cover letter (recommended).
- Submit your application electronically before the closing date.
- Monitor your application status through the NGA online portal.
💡 General Tips
- The 2-page limit is strict; focus on the most impactful examples of your data science work.
- Clearly label your experience using the specific categories listed in the mandatory requirements.
- Highlight specific outcomes and results of your data projects rather than just listing responsibilities.
- Prepare for the background check process early by ensuring your documentation is accurate and current.
Frequently Asked Questions
Is this an immediate job opening?
No, this is an 'Open Continuous' announcement used to build a pool of qualified candidates. Applications are reviewed as agency staffing needs arise.
What level of clearance is required?
This position requires a Top Secret/Sensitive Compartmented Information (SCI) clearance, which includes a polygraph and periodic background investigations.
Can I submit my own resume file?
NGA specifically requires the use of their internal resume builder. Please ensure you format your information within the portal's system.
Job from National Geospatial-Intelligence Agency
The NGA provides world-class geospatial intelligence to policymakers, military commanders, and intelligence partners. Operating within the Department of Defense, the NGA is essential in providing a decisive advantage in global security. Employees work in a collaborative, high-tech environment that values integrity, diversity, and excellence.