Systems Engineer with Data Science Expertise -TS/SCI with Poly
CACI International· Defense· Feb 28, 2026 · 8mo agoPosted 241 days ago
Fort Meade, MD, US
In office
Full-time
Senior
$94K–$198K
7+ years exp
Before you apply
Ghost Signal:
Open since February 28, 2026 — 241 days, and still accepting applications.
Job description
Job Title: Systems Engineer with Data Science Expertise -TS/SCI with Poly
Job Category: Engineering
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI with Polygraph
Employee Type: Regular
Percentage of Travel Required: None
Type of Travel: Local
* * *
The Opportunity:
CACI is seeking talented Systems Engineers with Data Science experience to support our client s national defense initiatives in the Fort Meade, Maryland area. This role combines Systems Engineering and Technical Assistance (SETA) expertise with data science skills to advance critical defense objectives.
Responsibilities:
Manage system requirements and architecture development using frameworks like DoDAF and SOA
Develop and allocate system and functional requirements across hardware, software, and personnel components
Participate in Integrated Product Teams to design new capabilities
Generate system concepts, architectures, and design solutions
Create verification plans and processes for systems and subsystems
Contribute to system engineering documentation (e.g., System Engineering Plans, Requirements Specifications)
Define and manage interfaces between system components throughout the lifecycle
Derive lower-level requirements from high-level stakeholder needs
Develop requirements for Information Assurance Services and Security Mechanisms
Qualifications:
Required:
BS or MS in Computer Science, Data Science, Statistics, Mathematics, or related field
Current TS/SCI with Poly
7 years of relevant experience (12 years if no degree)
Strong background in systems engineering for complex systems of systems
Expertise in data science, including NLP and machine learning
Experience with data extraction from unstructured sources (e.g., PDFs, CONOPS)
Proficiency in Python, R, and ML frameworks (e.g., TensorFlow, PyTorch)
Familiarity with data processing tools like Apache Tika and PDFMiner
Desired:
Qualitative analysis and data visualization expertise
Experience with DoD projects and methodologies
Strong communication and collaboration skills
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What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation s most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Pay Range :
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$94,400 - $198,200
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
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