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Data Scientist Development Program (DSDP) - Entry to Mid Level (Maryland)

Department of Defense
National Security Agency/Central Security Service
This job announcement has closed

Summary

Newly hired Data Scientists may be enrolled in the three-year Data Science Development Program (DSDP), in which they will both broaden and specialize their data science skills by taking courses and touring with a variety of mission offices (each for several months). You will have the opportunity to collaborate with NSA's experts in data science, related technical domains, and specialized subject areas while tackling NSA's highest priority mission challenges.

Overview

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Job closed
Open & closing dates
10/29/2025 to 10/30/2025
Salary
$86,498 to - $151,570 per year
Pay scale & grade
GG 7 - 12
Location
few vacancies in the following location:
Fort Meade, MD
Remote job
No
Telework eligible
No
Travel Required
Not required
Relocation expenses reimbursed
Yes—You may qualify for reimbursement of relocation expenses in accordance with agency policy.
Appointment type
Permanent
Work schedule
Full-time
Service
Excepted
Promotion potential
None
Job family (Series)
Supervisory status
No
Security clearance
Top Secret
Drug test
Yes
Position sensitivity and risk
Critical-Sensitive (CS)/High Risk
Trust determination process
Financial disclosure
No
Bargaining unit status
No
Announcement number
1250985
Control number
849091100

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Duties

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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.

As a Data Scientist, your responsibilities may include:
- Exploratory data analysis and exploratory model-fitting to reveal data features of interest
- Machine-learned predictive modeling
- Identifying and analyzing anomalous data (including metadata)
- Lead or contribute to cross-functional teams to develop and implement Al (including generative AI) that can help solve some of our most challenging problems.
- Apply modern engineering techniques to develop decision support software prototypes.
- Propose and execute novel, cutting-edge research in Al-enhanced decision systems.
- Designing and developing analytics and techniques for analysis
- Analyzing data using mathematical and statistical methods
- Implement ML pipeline and workflows
- Leverage skills in modern data architecture, cloud engineering, data transformation, and management of structured and unstructured data sources.
- Build continuous integration and delivery pipelines for ML applications.
- Construct usable data sets from multiple sources to meet customer needs
- 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
- Communicate with a team of data scientists, data engineers, AI engineers, ML-Ops engineers, and stakeholders.
- Evaluating, documenting, and communicating research processes, analyses, and results to customers, peers, and leadership
- Creating interpretable visualizations.
- Work with mission owners to design, develop, and deploy new architectures for ML and automation applications such as ELT functions, HPC/compute infrastructure, AWS/Azure solutions, database solutions, and optimization of DevOps procedures.

Requirements

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Conditions of employment

  • Employment is contingent upon successful completion of a security background investigation and polygraph.

Qualifications

The qualifications listed are the minimum acceptable to be considered for the position.

Applicants who meet minimum qualifications may be asked to complete the Data Science Examination (DSE) evaluating their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination is a requirement in order to be considered for selection into a data scientist position.

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, library, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics, linear algebra, and calculus based statistics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count. Note: Degrees in related fields will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

Relevant experience must be in one or more (two or more for Full Performance consideration) of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, computational science, software engineering, or data engineering.

ENTRY/DEVELOPMENTAL
Entry is with a Bachelor's degree and no experience. An Associate's degree plus 2 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.

FULL PERFORMANCE
Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience or a Doctoral degree and no experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.

Additional information

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.

Salary Range: $86,498 - $151,570 (Entry/Developmental, Full Performance)
Salary range varies by location, work level, and relevant experience to the position.

Training will be provided based on the selectee's needs and experience.

Benefits: NSA offers a comprehensive benefits package.

Work Schedule: This is a full-time position, Monday - Friday, with basic 8hr/day work requirement between 6:00 a.m. and 6:00 p.m. (flexible).

DCIPS Trial Period:
If selected for this position, you will be required to serve a two-year DCIPS trial period, unless you are a veterans' preference-eligible employee, in which case you are required to serve a one-year trial period. This trial period runs concurrently with your commitment to the position, if applicable. Before finalizing your appointment at the conclusion of your trial period, NSA will determine whether your continued employment advances the public interest. This decision will be based on factors such as your performance and conduct; the Agency's needs and interests; whether your continued employment would advance the Agency's organizational goals; and whether your continued employment would advance the efficiency of the Federal service.
Upon completion of your trial period, your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest.
If you do not receive certification for continued employment, you should receive written notice prior to the end of your trial period that your employment will be terminated and the effective date of such termination.

Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

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

Knowledge, skills, and relevant experience in one or more of the following is required:
- Designing and implementing machine learning
- Data mining
- Advanced analytical algorithms
- Programming
- Data science
- Advanced statistical analysis
- Artificial Intelligence
- Computational science
- Software engineering
- Data engineering

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