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Nsa Data Science Jobs in Washington (NOW HIRING)

Kepora

Splunk Administrator

Laurel, MD · On-site

Meade / NSA data environment experience Company : Kepora is an IT company that provides software engineering, big data, data science and cloud computing services. Founded in 2012, the company is ...

GRVTY

Data Scientist 2

Annapolis Junction, MD

... science, and application specific knowledge. * Through analytic modeling, statistical analysis ... in NSA/CSS data holdings. * Translate practical mission needs and analytic questions related to ...

GRVTY

Data Scientist 2

Annapolis Junction, MD · On-site

... science, and application specific knowledge. • Through analytic modeling, statistical analysis ... NSA/CSS data holdings. • Translate practical mission needs and analytic questions related to ...

Themis Insight

Data Scientist

Fort George G Meade, MD · On-site

... NSA/CSS data holdings. Translate practical mission needs and analytic questions related to large ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Power3 Solutions

Data Scientist

Fort George G Meade, MD · On-site

... NSA/CSS data holdings. Translate practical mission needs and analytic questions related to large ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Themis Insight

Data Scientist

Fort George G Meade, MD · On-site

... NSA/CSS data holdings. Translate practical mission needs and analytic questions related to large ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Power3

Principal Data Scientist

Fort George G Meade, MD · On-site

$180 - $260/hr

... NSA/CSS data holdings. Translate practical mission needs and analytic questions related to large ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

GRVTY

Data Scientist 2

Annapolis, MD · On-site

$115K - $145K/yr

... in NSA/CSS data holdings. * Translate practical mission needs and analytic questions related to ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

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Nsa Data Science information

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$25.8K

$127.6K

$220.6K

How much do nsa data science jobs pay per year?

As of Jul 28, 2026, the average yearly pay for nsa data science in Washington is $127,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,472.00 and $176,081.00 per year, depending on experience, location, and employer.

What are typical daily responsibilities for an NSA Data Science professional?

NSA Data Science professionals spend their days analyzing complex datasets, developing machine learning models, and generating actionable insights to support national security objectives. They frequently collaborate with interdisciplinary teams, including analysts, engineers, and cybersecurity experts, to design and implement data-driven solutions. Responsibilities also include data wrangling, researching emerging analytical techniques, and maintaining best practices for data security. This role often involves tackling unique, high-impact problems in a fast-paced, mission-driven environment.

Does the NSA hire data scientists?

Yes, the NSA hires data scientists to analyze large datasets, develop algorithms, and support national security efforts. Candidates typically need strong skills in statistics, programming, and data analysis, often requiring security clearances and relevant educational backgrounds.

What is an NSA Data Science job?

An NSA Data Science job involves analyzing large datasets to extract insights that support national security efforts. Data scientists at the NSA use machine learning, statistical modeling, and artificial intelligence to detect patterns in signals intelligence, cybersecurity threats, and other intelligence sources. They collaborate with analysts and engineers to develop algorithms and tools for processing complex data. Strong skills in programming, data visualization, and problem-solving are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Nsa Data Science position, and why are they important?

To thrive as an NSA Data Science professional, a strong background in statistics, mathematics, computer science, and data analysis, typically supported by a higher degree in a relevant field, is essential. Proficiency with programming languages such as Python or R, experience in machine learning frameworks, and familiarity with big data technologies and security-clearance requirements are highly valued. Exceptional problem-solving abilities, attention to detail, and robust communication skills are vital soft skills in this role. These competencies ensure effective data-driven solutions to complex national security challenges while maintaining the highest standards of confidentiality and teamwork.

Is NSA more secret than CIA?

Both the NSA and CIA are highly classified agencies with secretive operations, but the NSA is generally considered more secretive due to its focus on signals intelligence and electronic surveillance, which are less publicly visible than the CIA's human intelligence activities. As a data scientist working in national security, understanding classified information and working with sensitive data are key aspects of the role.

How much do NSA data scientists make?

NSA data scientists typically earn between $100,000 and $150,000 annually, depending on experience, education, and security clearance level. Salaries can vary based on location, seniority, and specialized skills such as machine learning or cybersecurity tools.

Is it hard to get hired by NSA?

Getting hired as an NSA Data Scientist is competitive and requires a strong background in data analysis, programming, and security clearances. Candidates typically need relevant education, such as a degree in a related field, and must pass rigorous background checks and assessments. The hiring process can be lengthy and demanding due to the sensitive nature of the work.
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What cities in Washington are hiring for Nsa Data Science jobs? Cities in Washington with the most Nsa Data Science job openings:
Nsa Data Science jobs near you
Infographic showing various Nsa Data Science job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 17% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $127,639 per year, or $61.4 per hour.
Data Scientist - Experienced to Expert Level (Maryland)

Data Scientist - Experienced to Expert Level (Maryland)

U.S. Department of Defense (DOD)

Fort George G Meade, MD • On-site

$132K/yr

Other

This job post has expired today. Applications are no longer accepted.

U.S. Department Of Defense rating

7.8

Company rating: 7.8 out of 10

Based on 536 frontline employees who took The Breakroom Quiz

29th of 50 rated military and defense

Job description

Newly hired experienced Data Scientists will be assigned to a mission office by aligning their data science skills with mission needs. Due to the challenging and evolving nature of NSA data science problems, Data Scientists are expected to continue broadening and deepening their expertise throughout their career. For more information, please visit: https://apply.intelligencecareers.gov/job-description/1259937

Qualifications:The qualifications listed are the minimum acceptable to be considered for the position.
Applicants will be asked to complete the Data Science Examination (DSE) which evaluates their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination at a local testing site is a requirement in order to be considered for selection into a data scientist position. Upon passing the examination, applicants will be evaluated for the minimum qualifications outlined in this ad. Transcripts for each academic institution are required prior to being invited to interview with Agency data science professionals and should be submitted as part of the online application. Unofficial transcripts are fine at this stage.
Note that different degree fields have different requirements as described below.
Degrees in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Data Science, Operations Research, Quantitative/Computational Finance, Econometrics/Quantitative Economics, Computer Science, or Computer Engineering qualify without additional coursework or a Data Science certificate.
Degrees in Engineering, Physical Sciences, Mathematical Biology/Bioinformatics, Life Sciences, Environmental Science, Data Analytics, or Information Science/Systems/Technology, must include either a Data Science certificate from an accredited college/university OR 5 or more courses in advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics) and/or advanced computer science (for example, algorithms, programming, data structures, data mining, artificial intelligence).
Other degrees must be accompanied by a Data Science certificate from an accredited college/university, and must include a total of 5 or more courses in advanced mathematics AND advanced computer science. At least one course must be from advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics). At least one course must be from advanced computer science (for example, algorithms, programming, data structures, computer architecture, data mining, artificial intelligence).
Experience must include both programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, software engineering, technical writing, data visualization, or data engineering. Experience must also include formal or informal leadership.
SENIOR
Entry is with an Associate's degree plus 8 years of relevant experience, or a Bachelor's degree plus 6 years of relevant experience, or a Master's degree plus 4 years of relevant experience, or a Doctoral degree plus 2 years of relevant experience.
EXPERT
Entry is with an Associate's degree plus 11 years of relevant experience, or a Bachelor's degree plus 9 years of relevant experience, or a Master's degree plus 7 years of relevant experience, or a Doctoral degree plus 5 years of relevant experience.Education:The qualifications listed are the minimum acceptable to be considered for the position.
Note that different degree fields have different requirements as described below.
Degrees in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Data Science, Operations Research, Quantitative/Computational Finance, Econometrics/Quantitative Economics, Computer Science, or Computer Engineering qualify without additional coursework or a Data Science certificate.
Degrees in Engineering, Physical Sciences, Mathematical Biology/Bioinformatics, Life Sciences, Environmental Science, Data Analytics, or Information Science/Systems/Technology, must include either a Data Science certificate from an accredited college/university OR 5 or more courses in advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics) and/or advanced computer science (for example, algorithms, programming, data structures, data mining, artificial intelligence).
Other degrees must be accompanied by a Data Science certificate from an accredited college/university, and must include a total of 5 or more courses in advanced mathematics AND advanced computer science. At least one course must be from advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics). At least one course must be from advanced computer science (for example, algorithms, programming, data structures, computer architecture, data mining, artificial intelligence).
Employment Type: OTHER

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