Threat Intelligence

Threat Intelligence Data Jobs

3 jobs found

1d ago

Intelligence Data Engineer

General Dynamics Information Technology Bethesda, MD

Bethesda, MD

1d ago

$42k - $57k/yr Full time Data Engineer Data Engineering Data Integration

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Job Description

Make complex defense data measurable. In this onsite Intelligence Data Engineer role with General Dynamics Information Technology in Bethesda, MD, you will help turn intelligence and sensing information into outcomes that support defense missions and customer challenges. The team builds mission-focused tools for NSWCCD and their Sponsors with ARMADA, grounded in expertise across ACINT, undersea sensing, foreign threat analysis, data collection strategies, and systems integration. You will have access to career support, comprehensive benefits, and a culture of innovation in a military-friendly workplace.

What you will do

Collaborate with ARMADA stakeholders to support mission success.
Drive key outcomes by recommending how the team innovates and resolves technical and delivery challenges.
Apply deep expertise in ACINT, undersea sensing, foreign threat analysis, data collection strategies, and systems integration.
Own your opportunity to turn data into measurable outcomes for customers’ most complex challenges.

What you bring

15+ years of related experience.
Technical experience with ACINT, Undersea Sensors, Sonar/Submarine Operations, and Foreign Threat Analysis.
TS/SCI security clearance level.
U.S. citizenship required.
Work at customer sites; some travel may be required for meetings and/or system testing and demonstration.

Key skills for success: Algorithms, Data Generation, Data Solutions, Design, Exploration.

Benefits and culture

Growth: AI-powered career tool that identifies career steps and learning opportunities.
Support: An internal mobility team focused on helping you achieve your career goals.
Rewards: Comprehensive benefits and wellness packages, 401K with company match, competitive pay, and paid time off.
Flexibility: Full-flex work week to own your priorities at work and at home.
Community: Award-winning culture of innovation and a military-friendly workplace.

Work requirements and pay

Location: Bethesda, MD (onsite)
Travel: Less than 10%
Citizenship: U.S. Citizenship Required
Salary range: USD 42,432 - 57,408 per year

Compensation note: The likely salary range for this position is $42,432 - $57,408. This is not a guarantee of compensation or salary. Salary will be set based on experience, geographic location, and possibly contractual requirements, and could fall outside of this range.

Identity verification process

As part of the hiring process, you will complete an identity verification process using advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud.
You are expected to be on camera during virtual interviews.
We reserve the right to take your picture to verify your identity and prevent fraud.
By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

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2mo ago

Senior Data Scientist (TS/SCI cleared)

Johns Hopkins Applied Physics Laboratory (APL) Laurel, MD

Laurel, MD

2mo ago Closed

$105k - $290k/yr Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

This Senior Data Scientist role at Johns Hopkins Applied Physics Laboratory (APL) sits within the Threat Analytic Systems group. The position centers on applying AI and machine learning, statistical analysis, and software development to tackle data analysis challenges, building prototype software to collect and interpret intelligence data, and communicating findings to technical staff, management, and government decision makers.

Location

Laurel, MD (onsite)

Salary

USD 105,000 - 290,000 per year

Education

Master’s or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering, or a related engineering field

Responsibilities

Apply expertise in artificial intelligence, machine learning, statistical analysis, and software development to address complex data analysis problems for sponsors
Research, develop, evaluate, and deploy innovative data science and AI techniques and technologies
Develop prototype software to gather, process, and analyze intelligence data from diverse sources
Convey ideas and results through papers and presentations to technical staff, management, and government decision makers

Requirements

Master’s or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering, or a related engineering field
Experience with artificial intelligence, machine learning, and statistical analysis
Proven track record designing and developing algorithms and implementing systems for interdisciplinary problem solving
Hands-on experience with Python
Ability to work with loosely defined or high-level requirements
Capacity to set priorities and manage multiple dynamic projects, independently or as part of a team, to support evolving national security needs
Strong problem-solving, analytical, and organizational skills, with demonstrated initiative and excellent written and verbal communication
Active TS/SCI security clearance with eligibility for access to classified information; U.S. citizenship is required

Technologies

Python

Benefits

Generous education assistance program
Unparalleled retirement contributions
Healthy work-life balance
Retirement plans
Paid time off
Medical, dental, and vision insurance
Life insurance
Short-term disability
Long-term disability
Flexible spending accounts
Training and development

Nice to have

Experience with project management and/or leading technical teams

About Us

The Johns Hopkins University Applied Physics Laboratory (APL) delivers world-class expertise to address defense, security, space, and science challenges. APL fosters a culture that values diverse perspectives, creativity, and bold ideas, with a welcoming environment that supports growth and collaboration. Located in the Baltimore-Washington metro area, APL offers generous benefits, including education assistance, retirement contributions, and a healthy work-life balance. Applications are accepted on a rolling basis. APL is an equal opportunity employer; accommodations are available for applicants with disabilities. For accessibility needs, please contact Accessibility@jhuapl.edu.

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2mo ago

Data Scientist, Senior

Booz Allen Hamilton Springfield, VA

Springfield, VA

2mo ago Closed

$78k - $176k/yr Full time Senior Analytics Business Analytics

This position is no longer accepting applications (closed Aug 11, 2026).

Job Description

Booz Allen Hamilton is seeking a Senior Data Scientist to lead end-to-end analytics initiatives from our Springfield, Virginia location. This role centers on building advanced analytical models and compelling visuals that strengthen mission security, while briefing senior leadership with clear, data-driven recommendations.

Responsibilities

Design, develop, and maintain sophisticated analytic models, dashboards, and tools to deter, detect, and mitigate threats.
Apply deep data science expertise to identify anomalies and deliver actionable intelligence.
Collaborate with project sponsors, senior stakeholders, and program managers to shape complex business needs and strategic objectives.
Leverage data-driven insights to advocate for meaningful process changes and improvements.
Oversee and support business operations and the lifecycle of policy development.
Serve as a subject-matter expert for enterprise-wide policy development, review, coordination, promulgation, and compliance, including Self-Inspection Checklists and related documentation.
Develop and maintain advanced risk-scoring models and other analytics tools.
Drive the implementation and sustainment of data analysis platforms, monitoring system integrity by capturing metrics on errors, failures, and performance.
Translate complex analyses into clear visuals, dashboards, and executive-level reports.
Provide authoritative visual, technical, and editorial guidance and brief senior leadership on findings, forecasts, and strategic recommendations.
Oversee the capture, maintenance, and accuracy of statistics related to timelines, domain transfers, and key performance indicators.

Requirements

7+ years of experience designing, integrating, developing, and maintaining analytic models, visualizations, and tools.
2+ years of experience with Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, along with related software including Dreamweaver, Fireworks, Photoshop, HTML, and FrameMaker.
Experience providing technical and editorial guidance.
Experience supporting and maintaining risk-scoring models or predictive analytics systems.
Experience in data visualization and dashboard development using data sets from multiple sources.
Ability to lead process-improvement initiatives and contribute to the full lifecycle of policy development and business operations.
Ability to transform complex data sets into compelling visuals, reports, and leadership briefings.
Active TS/SCI clearance; willingness to undergo a polygraph examination.
Master's degree in data science, statistics, or business, with 7+ years of related experience, or 10+ years of experience in lieu of a degree.

Technologies

ArcView
ArcGIS
Remote View
ArcIMS
ERDAS Imagine
Macromedia Dreamweaver
Macromedia Fireworks
Photoshop
HTML
FrameMaker

Benefits

Comprehensive health coverage
Life insurance
Disability benefits
Financial benefits and retirement program
Paid leave
Professional development opportunities
Tuition assistance
Work-life programs
Dependent care support

Identity Statement

As part of the hiring process, you will complete an identity verification workflow that uses biometrics and artificial intelligence to verify authenticity and protect against fraud. Interviews and assessments may require on-camera participation, and Booz Allen may capture your image to confirm identity and prevent fraud.

Candidate AI Usage Policy

Artificial intelligence tools are used across Booz Allen, but the candidate process remains fair and skills-based. The use of AI or other tools to assist with interview responses is prohibited unless explicit permission is provided.

Work Model

Onsite: Work is primarily performed at a Booz Allen office or customer facility, with direct collaboration as required.
Hybrid: Regularly operate from a Booz Allen facility; occasional travel to customer sites may be necessary.
Remote: Some tasks may be performed remotely, with occasional in-person requirements at Booz Allen or customer facilities.

Compensation

The projected annual salary range for this role is $77,600 to $176,000, USD, with actual pay determined by factors such as location, education, experience, and organizational needs.

Clearance

Selected applicants will undergo a security investigation and must meet eligibility requirements for access to classified information. TS/SCI clearance is required.

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