Fort Meade, MD

Data Jobs in Fort Meade, MD

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Today

AI Engineer - Entry to Expert Level

US National Security Agency/Central Security Service Fort Meade, MD

Fort Meade, MD

Today

$87k - $197k/yr Full time Ai Engineer Ai Ml Artificial Intelligence

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Job Description

At the US National Security Agency/Central Security Service, this role focuses on designing and implementing mission-critical AI systems that support intelligence collection, processing, and reporting. You will help build, deploy, and maintain AI capabilities across the full lifecycle, from training and infrastructure through deployment, performance monitoring, and continuous optimization.

This position is based in Fort Meade, MD (onsite), supporting critical national security work. The salary range is USD 87,362 - 197,200 per year, with pay level determined by education and relevant experience.

What you will do

Lead or contribute to cross-functional teams to develop and operationalize AI solutions for challenging, mission-focused problems.
Design, develop, deploy, and maintain end-to-end AI workflows covering model training, inference, and performance monitoring.
Adapt and integrate AI model architectures including computer vision systems, natural language processing, audio/speech processing, large language models (LLMs), and multi-modal frameworks.
Monitor and maintain AI products by identifying performance degradation and computational inefficiency, then apply regular fine-tuning to maintain alignment with evolving mission and organizational needs.
Stay current with AI research and incorporate emerging techniques into intelligence applications.
Test and evaluate AI solutions against mission requirements and provide actionable recommendations.

Entry and experience levels

Entry: For Computer Science or Engineering, an Associate’s degree plus 2 years of relevant experience, or a Bachelor’s degree with no experience, or a Master’s degree with no experience.
Entry: For Information Systems, Information Technology, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Operations Research, Artificial Intelligence, Data Science, or Physical/Biological Sciences, an Associate’s degree plus 3 years, or a Bachelor’s degree plus 1 year.
Full Performance: For Computer Science or Engineering, Associate’s + 5 years, or Bachelor’s + 3 years, or Master’s + 1 year, or Doctoral + no experience.
Full Performance: For Information Systems, Information Technology, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Operations Research, Artificial Intelligence, Data Science, or Physical/Biological Sciences, Associate’s + 5 years, or Bachelor’s + 3 years, or Master’s + 1 year, or Doctoral + 1 year.
Senior: Associate’s + 8 years, or Bachelor’s + 6 years, or Master’s + 4 years, or Doctoral + 2 years.
Senior: Degree must be in one of the listed fields for Senior qualification.
Expert: Associate’s + 11 years, or Bachelor’s + 9 years, or Master’s + 7 years, or Doctoral + 5 years.
Expert: Degree must be in one of the listed fields for Expert qualification.
Expert: Relevant experience must include three or more from: implementing production scale AI/ML solutions; distributed model training; distributed AI/ML systems; AI/ML performance monitoring; platform engineering; cloud engineering; developing deep learning models; sustaining/maintaining AI/ML models; implementing AI/ML algorithms; AI/ML model development and deployment; DevOps; MLOps; cloud infrastructure management; software engineering; automated testing; or containerization.
Expert: Additionally, you must have experience serving as an AI Project Team Leader/model owner.
Education must be accredited by an institution recognized by the U.S. Department of Education.

Technologies you may use

Frameworks and languages: PyTorch, TensorFlow, JAX, Python, C++, Java, Scala, TypeScript
Data and distributed processing: SQL, NoSQL, Spark, Dask, Ray
Cloud, containers, and orchestration: AWS, Azure, GCP, Docker, Kubernetes
Collaboration tools: Git

Pay, schedule, and appointment details

Appointment type: Permanent
Federal service type: Excepted Service
Pay scale & grade: GG 7 - 15
Work schedule: Full-time, Monday - Friday, with an 8-hour/day requirement between 6:00 a.m. and 6:00 p.m. (flexible)
Travel: Occasional travel may be expected
Relocation expenses: Reimbursed if you qualify under agency policy
Telework/remote: Telework eligible: No; Remote job: No

Security and compliance

Security clearance: Top Secret
Position sensitivity: Critical-Sensitive (CS)/High Risk; background check type: National security
Drug testing: All applicants and employees are subject to random drug testing in accordance with Executive Order 12564.
Financial disclosure: Required
Drug test: No (as listed in overview); random drug testing still applies per the requirement statement

How you will be evaluated

Specialized skills in deep learning frameworks (PyTorch, TensorFlow, JAX)
Experience with model training, fine-tuning, and optimization techniques
Experience with computer vision, NLP, speech/audio processing, and/or multi-modal AI systems
Experience with large language models (LLMs) and transformer architectures
Experience in model evaluation, validation, and performance monitoring
Experience with transfer learning and domain adaptation
Programming skills including Python and other relevant languages (C++, Java, Scala, TypeScript)
Version control and collaborative development using Git
Experience with API design and microservices architecture, software testing frameworks, and CI/CD pipelines, plus containerization (Docker, Kubernetes)
Experience with data processing frameworks (Spark, Dask, Ray), feature engineering and data preprocessing
Experience with production model deployment and serving infrastructure, monitoring/logging/observability tools
Experience with cloud platforms (AWS, Azure, GCP) and/or HPC systems, distributed computing/parallel processing, GPU optimization and resource management
Experience with cross-function collaboration and communication, plus technical documentation and presentation
Ability to translate mission requirements into technical solutions

Eligibility and application

Open to: the public
Also open to: U.S. Citizens, Nationals or those who owe allegiance to the U.S.
How to apply: https://apply.intelligencecareers.gov/job-description/1262729

NSA provides a comprehensive benefits package. Agency contact: 1-844-424-4737 or intelcareers@nsa.gov.

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25d ago

Data Scientist Level 3

DigiFlight Fort Meade, MD

Fort Meade, MD

25d ago

Full time Big Data Data & Ai Data Analysis

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Job Description

Support NSA/CSS data analysis efforts by applying advanced mathematical, statistical, and computational methods to derive mission-relevant insights.

Responsibilities

Apply two or more skill areas across: Foundations (mathematical, computational, statistical), Data Processing (data management and curation, data description and visualization, workflow, reproducibility), Modeling, Inference, and Prediction (data modeling and assessment with domain-specific considerations).
Design approaches to extract meaning and value from large datasets.
Generate and communicate principled conclusions using mathematics, statistics, computer science, and application-specific knowledge.
Develop and implement qualitative and quantitative methods to characterize, explore, and assess large datasets across different conditions of organization, cleanliness, and structure, accounting for constraints unique to NSA/CSS data holdings.
Convert practical mission needs and analytic questions into technical requirements; also help stakeholders draw appropriate conclusions from analysis results.
Communicate complex technical findings to non-technical audiences.
Provide informed recommendations across competing technical solutions while tracking evolving NSA/CSS collection, processing, storage, and analytic capabilities and limitations.

Requirements

Minimum experience: 10 years.
Education: Bachelor’s degree in Mathematics, Applied Mathematics / Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science, or related field (Computer Information Systems, Engineering), or a physical/hard sciences degree (e.g., physics, chemistry, biology, astronomy), or other science disciplines with substantial computational component with relevant coursework.
Additional education pathway: a broader range of degrees may be considered when accompanied by a Certificate in Data Science from an accredited college/university.
Relevant experience must include designing/implementing work such as: machine learning, data science, advanced analytical algorithms, and programming (including skill in at least one high-level language such as Python).
Relevant experience also includes: statistical analysis (variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.

Technologies

Python

Benefits

Health, Dental, Vision, and Flexible Spending Account
Paid Time Off (PTO)
11 paid holidays
Tuition Education Assistance
Professional Development
401(k) retirement plan
Life insurance and short- and long-term disability insurance
Employee Referral Program
Marketing Incentive Plans
DFI offers a highly competitive, family-oriented benefits package

Role Description

Active Top-Secret SCI with FSP Poly
Location: Fort Meade, MD (onsite)

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1mo ago

Data Analyst/Cyber Risk

Peraton Fort Meade, MD

Fort Meade, MD

1mo ago Closed

$135k - $216k/yr Full time Analyst Big Data Cyber Risk

This position is no longer accepting applications (closed Sep 9, 2026).

Job Description

Peraton is seeking a Data Analyst/Cyber Risk to deliver Mission Assurance and Operations Research Analysis (MA/ORSA) support for the Department of Defense Cyber Defense Command (DCDC). In this onsite role at Fort Meade, you will help assess and manage risks related to the secure operation and defensibility of cyberspace, supporting decision-making for mission execution.

What you’ll do

Identify and recommend cyber terrain and activities that may affect DoD mission execution, including recommendations and requirements for improvements
Conduct analysis of risks and mitigation or remediation options to support operational decision-making
Coordinate and support weekly execution of a Cyber Operational Analysis Working Group, Mission Assurance working groups, and technical exchange meetings
Support completion of related operations research and mathematical work as needs arise
Lead and define operational risk assessments and analyses by DAO, sector, and defined terrain segments
Coordinate with AOs, sector commanders/directors, and other stakeholders to identify cyber-relevant risk, strategies, tolerance, and related factors
Define and document analysis factors, risk reporting criteria, and risk categories
Incorporate results from war-gaming and analyses into risk assessments, options, issues, and outcomes in collaboration with DoD stakeholders
Capture stakeholder collaboration results in an assessment report, updated monthly
Manage multiple assignments, changing priorities, and independent execution with limited oversight
Provide technical guidance to support planning, direction-setting, initiative definition, and development of solutions
Track and respond to task submissions via the Task Management Tool (TMT) and monitor the team’s shared mailbox with timely, accurate responses

Education and experience

Minimum 8 years experience with BS/BA; 6 years with MS/MA; 3 years with Ph.D.
Alternate experience consideration: Associate with 10 years or HS + 12 years

Required skills and background

Experience with cloud-based data warehousing, specifically the Big Data Platform (BDP)
Experience writing data parsers for the BDP
Experience with Kafka and Apachi NiFi
Expertise in cloud-native data storage services and data warehousing methods
Familiarity with SQL and noSQL data storage methods
In-depth understanding of all aspects of Defensive Cyberspace Operations
Demonstrated ability to communicate with a variety of stakeholders using a variety of formats
Ability to work independently and collaboratively in a team environment
Ability to work periodically on shift to support the team
U.S. Citizenship required
Active DoD TS/SCI clearance or ability to obtain SCI

Technologies

Big Data Platform (BDP)
Kafka
Apachi NiFi
SQL
noSQL

Compensation

Target salary range: $135,000 to $216,000 per year. Salary depends on scope and responsibilities, experience, education, knowledge, skills, and competencies, as well as geographic location and business or contract considerations. Employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay, depending on position.

Benefits

Medical, dental, vision, life
Health savings account
Short/long term disability
EAP
Parental leave
401(k)
Paid time off (PTO) for vacation
Company paid holidays

Application process

Estimated application period is 30 days from the job posting date, but may be shortened or extended based on business needs and candidate availability
During review, you may be required to participate in an on-camera interview and a process to verify your identity

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1mo ago

Data Scientist

BOOZ, ALLEN & HAMILTON, INC. Fort Meade, MD

Fort Meade, MD

1mo ago Closed

$99k - $225k/yr Full time Amazon Emr Analytics Artificial Intelligence

This position is no longer accepting applications (closed Sep 7, 2026).

Job Description

Booz Allen Hamilton, Inc. is seeking a Data Scientist to support mission-focused work in Fort Meade, MD. In this onsite role, you will apply statistical methods, machine learning, data mining, and predictive analytics to turn complex structured and unstructured data into objective, actionable insights.

What you’ll do

Contribute to advanced analytic initiatives on mission-focused projects.
Use statistical methods, machine learning, data mining, and predictive analytics to extract value from diverse data sources and address operational challenges.
Partner with clients to understand questions and needs.
Explore data-rich environments to identify and assemble the information needed to answer client problems.
Lead teammate efforts and support development of algorithms and systems.
Select appropriate tools and frameworks to transform disparate data points into objective answers clients can use for informed decisions.
Provide a deep understanding of the data, its meaning, and how it can be applied.
Apply leadership and data science expertise to create real-world impact.
Work as part of a team applying data science for good.

Qualifications

3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
3+ years of experience with statistical and general-purpose programming languages for data analysis.
3+ years of experience analyzing structured and unstructured data sources.
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
Experience with natural language processing, text mining, or machine learning techniques.
Knowledge of ETL tools such as DBT and Airflow.
Secret clearance.
HS diploma or GED.

Tools and technologies

Machine learning, artificial intelligence, statistical methods, data mining, predictive analytics
Natural language processing, text mining
ETL tools: DBT, Airflow
Spark, Databricks, Hadoop, Hive, AWS EMR, Kafka
Tableau, Qlik, Power BI, ArcGIS

Pay and location

Location: Fort Meade, MD (onsite)
Compensation: USD 99,000 - 225,000 per year

Clearance and security

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Secret clearance is required.

Identity verification and interview rules

During the hiring process, you will be asked to complete an identity verification process that uses advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud.
You are expected to be on camera during interviews and assessments.
Booz Allen reserves the right to take your picture to verify your identity and prevent fraud.
Use of artificial intelligence or other tools to assist with interview responses (in-person or virtual) is prohibited unless permission is explicitly provided.

Benefits

Health, life, disability, and financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program acknowledging employees for exceptional performance and superior demonstration of company values
Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in benefit programs
Individuals that do not meet the threshold are eligible for select offerings, not inclusive of health benefits

Work model

Onsite: Work will primarily be performed at a Booz Allen office or customer facility, with collaboration required with colleagues and customers as needed.

Non-discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

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1mo ago

Strategic Artificial Intelligence (AI) Engineer

Computer World Services Fort Meade, MD

Fort Meade, MD

1mo ago Closed

$130k - $150k/yr Full time AI Enablement Artificial Intelligence Engineer

This position is no longer accepting applications (closed Aug 28, 2026).

Job Description

Computer World Services is seeking a Strategic AI Engineer to support the DISA EIIC initiative, applying AI technologies to programs that aid the warfighter. This hybrid role located at Fort Meade, MD combines hands-on development with program analysis and collaboration across government and industry partners. The position offers a salary in the range of $130,000 to $150,000 per year.

Responsibilities

Collaborate with DISA and industry colleagues to build a thorough understanding of AI technologies and their applications.
Stay informed about the latest AI advancements and research directions.
Design and deploy AI models spanning machine learning, natural language processing, and computer vision for diverse applications.
Assess model performance and identify opportunities for improvement.
Initiate, coordinate, and monitor technical and functional activities, including strategic planning, program analysis, quality assurance, configuration management, workflow governance, and productivity measurement.
Participate in program reviews, integrated process teams, and outreach efforts to promote DISA initiatives and secure participation from Combatant Commands (COCOM) or other partners.
Provide technical support for pathfinders, proofs-of-concept, and prototypes across multiple domains.
Develop program and project level management activities, process improvement recommendations, technology evaluation plans, procedures, metrics, and related documentation.
Generate reports, draft memos, transcribe notes, explore topics, and prepare presentations.

Requirements

Strong knowledge and experience with emerging cybersecurity technologies.
Proven ability to analyze technology, prepare reports, and deliver briefings.
Excellent communication and presentation skills, with comfort speaking publicly.
Self-motivated and collaborative, with a track record of delivering results promptly.
DoD 8140 and industry certifications may be required at start (for example, CEH, Sec+).
Because of U.S. Government security clearance requirements, applicants must be U.S. citizens and eligible to obtain an interim Secret clearance prior to start by completing the required U.S. government background investigation.
Top Secret or SCI clearance may be required.
Bachelor's degree in Engineering, Computer Science, or a related field is preferred.

Other information

Must be within commuting distance of Fort Meade and able to work on-site on a hybrid schedule. Applicants outside commuting distance will not be considered.

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1mo ago

Data Scientist

Agile Defense Fort Meade, MD

Fort Meade, MD

1mo ago Closed

Full time Analytics Artificial Intelligence Big Data

This position is no longer accepting applications (closed Aug 26, 2026).

Job Description

Agile Defense is seeking a Data Scientist and Engineer to design, develop, and deploy scalable AI enabled data solutions for the Department of Defense's CDAO ADA IR program. The role involves building data pipelines, preprocessing workflows, feature engineering, and machine learning services within secure, containerized environments onsite at Fort Meade, MD.

Responsibilities

Contribute to the end to end design, development, and operational deployment of scalable AI powered data solutions for the DoD's CDAO ADA IR program.
Design and implement data pipelines, preprocessing workflows, feature engineering strategies, and ML services within secure, containerized environments.
Collaborate closely with product managers, full stack developers, platform engineers, and mission stakeholders to transform raw data into actionable insights and decision support tools.
Join a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission critical environments at Combatant Commands.

Requirements

Minimum of four years of experience in applied data science, machine learning engineering, or data pipeline development.
Proficiency in Python and SQL, with hands on experience in distributed data frameworks such as Spark, Databricks, and PySpark.

Technologies

Python
SQL
Spark
Databricks
PySpark
scikit-learn
TensorFlow
XGBoost
MLflow
AWS
Azure
Palantir Foundry
Tableau
Plotly
Matplotlib

Working Conditions

Requires onsite work in a SCIF at Fort Meade, MD.

Our Core Values

Happy - Foster a positive, connected environment where happiness enhances motivation and collaboration.
Helpful - Supportive teamwork that underpins collaboration and collective success.
Honest - Trustworthy and transparent communication grounded in ethical conduct.
Humble - Grounded approach with mutual respect and a willingness to learn.
Hungry - Drive for excellence and ongoing innovation.
Hustle - Relentless work ethic focused on advancing the mission.

Equal Opportunity Employer / Protected Veterans / Individuals with Disabilities

We may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans. For more information about how your data is processed, please contact us.

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1mo ago

Data Scientist (Various Levels)

Agile Defense Fort Meade, MD

Fort Meade, MD

1mo ago Closed

$120k - $170k/yr Full time Big Data Data Data Analysis

This position is no longer accepting applications (closed Aug 24, 2026).

Job Description

The Data Scientist role at Agile Defense is an onsite position based in Fort Meade, Maryland. This role supports large-scale projects and software solutions, requiring active TS/SCI with CI Poly clearance. The position offers a structured path across multiple levels with a focus on advanced analytics, machine learning, and client collaboration.

Responsibilities

Oversees technical design, development, and implementation of large projects or major software products and solutions for clients.
Assists in defining architecture requirements and establishing design and development standards.
Consults with management and clients regarding feasibility and viability of product plans and designs.
Incorporates emerging technologies and product supportability into design and implementation.
Serves as the primary technical resource to the development team.
May act as team leader, prioritizing group tasks, assigning work, and reviewing outputs of junior developers.
Provides product demonstrations and engages in trade shows, seminars, industry panels, and user group meetings.
Interacts with customers regarding strategies, requirements, problem solving, and support.

Requirements

Active TS/SCI with polygraph required for consideration
Bachelor’s degree in a relevant field and 5 years of experience; an advanced degree will be considered in lieu of years of experience
Proficient in Python
Experience with Docker and Kubernetes
Experience with end-to-end workflows or projects
3+ years of Defensive Cyber Operations experience
3+ years of Machine Learning techniques and statistical model evaluation

Technologies

Python
Docker
Kubernetes
R
SQL
AWS
Big Data Platform (BDP)
Linux
Windows
Jupyter Notebooks
Cisco CCNA
STIGs
IAVA
Network Analysis Tools

Compensation

USD 120,000 - 170,000 per year

Benefits

Health Insurance
Life Insurance
Paid Time Off
Holiday Pay
Short-term Disability
Long-term Disability
Retirement
Learning and Development opportunities

Our Core Values

Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
Humble - Be Grounded. Success is not achieved alone; humility ensures a culture of mutual respect, open communication, and willingness to learn from one another.
Hungry - Be Eager. Our drive for excellence fuels continuous innovation and improvement in the face of new challenges.
Hustle - Be Driven. A strong work ethic drives us to go above and beyond to advance the mission and achieve success.