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Work Study Nsa Data Science Jobs (NOW HIRING)

Prescient Edge

Senior Data Scientist

Colorado Springs, CO · On-site

$135K - $210K/yr

A positive work environment where employees are respected, supported, and engaged. * Salary range ... Conduct data science functions on structured and unstructured data to streamline intelligence ...

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Franklin University

Work Study

Columbus, OH · On-site

Federal Work-Study students assist various departments within the university or community-based ... Handle general administrative tasks, including filing, photocopying, scanning, and entering data.

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Work Study Nsa Data Science information

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$34K

$70.8K

$135.5K

How much do work study nsa data science jobs pay per year?

As of Jul 17, 2026, the average yearly pay for work study nsa data science in the United States is $70,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $81,000.00 per year, depending on experience, location, and employer.

Is NSA more secretive than CIA?

The NSA (National Security Agency) and CIA (Central Intelligence Agency) are both highly secretive U.S. intelligence agencies, but they focus on different areas; the NSA primarily handles signals intelligence and cybersecurity, often operating covertly in electronic surveillance, while the CIA focuses on human intelligence and covert operations abroad. Both agencies maintain strict confidentiality, but the NSA's work is generally more classified due to its technical and electronic surveillance methods.

Is it hard to get hired by NSA?

Getting hired as a Work Study NSA Data Science position can be competitive due to the NSA's rigorous hiring process, which includes security clearances, technical assessments, and interviews. Candidates typically need strong academic records, relevant skills in data analysis and programming, and a good understanding of cybersecurity or data science concepts.

How much do NSA data analysts make?

NSA data analysts typically earn between $70,000 and $120,000 annually, depending on experience, education, and security clearance level. Entry-level positions may start lower, while experienced analysts with specialized skills in data science, cybersecurity, or programming can earn higher salaries. Compensation often includes benefits such as health insurance and retirement plans.

What is the difference between Work Study Nsa Data Science vs Data Analyst?

AspectWork Study Nsa Data ScienceData Analyst
Required CredentialsRelevant coursework, basic programming skillsBachelor's degree in related field, some certifications
Work EnvironmentPart-time, on-campus or government agency settingsCorporate, consulting, or industry offices
Employer & Industry UsageGovernment agencies, research projects, academic institutionsBusinesses, marketing firms, finance, healthcare

Work Study Nsa Data Science roles typically involve assisting with data collection, basic analysis, and research support within academic or government settings, often as part of a student work program. Data Analysts focus on interpreting data, creating reports, and supporting decision-making in various industries. While both roles require analytical skills, Work Study Nsa Data Science positions are more educational and entry-level, whereas Data Analysts often require more experience and industry-specific knowledge.

How much do NSA interns get paid?

NSA data science interns typically receive a competitive stipend that varies based on experience and education level, often ranging from $20 to $30 per hour. Internships usually last for several months during the summer or academic year and may include additional benefits such as housing assistance or stipends for travel.
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Work Study Nsa Data Science jobs near you
Infographic showing various Work Study Nsa Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $70,839 per year, or $34.1 per hour.
Data Scientist with Security Clearance

Data Scientist with Security Clearance

NSA

Fort George G Meade, MD • On-site

Other

Posted 10 days ago

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. NSA data science is collaborative and you are expected to work with NSA experts in data science, related technical domains, and specialized subject areas. You will have opportunities to participate in internal technical roundtables and to attend technical conferences with experts from industry and academia. There is potential for some candidates to be enrolled in the three-year Data Science Development Program (DSDP), a rotational program to strengthen their basic skills. Data science at the National Security Agency (NSA) is a multi-disciplinary field that uses elements of mathematics, statistics, computer science, and application-specific knowledge to gather, make, and communicate principled conclusions from data. Data Science is a broad field and a team effort, spanning all the expertise needed to derive value from data. It encompasses AI Engineering, Data Engineering, ML Ops Engineering, and Human Perception and Cognition Engineering in addition to the traditional applications of data science. Data science is present in every aspect of the mission. NSA Data Scientists tackle challenging real-world problems leveraging big data, high-performance computing, machine learning, and a breadth of other methodologies. We are looking for critical thinkers, problem solvers, and motivated individuals who are enthusiastic about data and believe that answers to hard questions lie in the yet-to-be-told story of diverse, complicated data sets. You will employ your mathematical science, computer science, and quantitative analysis skills to develop solutions to complex data problems and take full advantage of NSA's capabilities to tackle the highest priority foreign intelligence and cybersecurity challenges. Responsibilities may include:
- Exploring data analysis and model-fitting to reveal data features of interest
- Using the machine-learned predictive modeling
- Constructing usable data sets from multiple sources to meet customer needs
- Identifying and analyzing anomalous data (including metadata)
- Developing conceptual design and models to address mission requirements
- Developing qualitative and quantitative methods for characterizing datasets in various states
- Performing analytic modeling, scripting, and/or programming
- Working collaboratively and iteratively throughout the data-science lifecycle
- Designing and developing analytics and techniques for analysis
- Analyzing data using mathematical and statistical methods
- Evaluating, documenting, and communicating research processes, analyses, and results to customers, peers, and leadership
- Creating interpretable visualizations 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. The ideal candidate has a desire for continual learning along with excellent analytical, problem-solving, communication (oral and written), and interpersonal skills who is:
- Accountable
- Proactive
- Detail oriented
- Able to solve complex problems
- Proficient with critical thinking and reasoning to make analytic determinations
- Effective at working in a collaborative team environment
- Able to bridge the gap with both technical and non-technical audiences
- Able to provide technical leadership in formal or informal roles Knowledge, skills, and relevant experience in programming, formal or informal leadership, and one or more of the following is required:
- Designing and implementing machine learning
- Data mining
- Statistical analysis
- Statistical consulting
- Artificial Intelligence development
- Computational science
- Software engineering
- Technical writing
- Data visualization
- Data engineering Pay: Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.

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