
Senior Data and AI Integrator
Tampa, FLFull-time$78–164K/yrSeen 4w agoSeen in employer's feed 3 days ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
The Opportunity: Join a team dedicated to advancing national security through data‑driven insights, advanced analytics, and innovative technology, applying data science, statistical analysis, automation, and emerging technologies to complex operational challenges in the information environment and irregular warfare mission space.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Job Title: Senior Data and AI Integrator
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
The Opportunity
Join a team dedicated to advancing national security through data-driven insights, advanced analytics, and innovative technology. CACI is seeking Data Scientists at the Journeyman and Senior levels to support a mission-focused program delivering analytical, advisory, and operational capabilities across geographic and functional Combatant Commands.
In this role, you will apply data science, statistical analysis, automation, and emerging technologies to complex operational challenges within the information environment and irregular warfare (IW) mission space. You will work with diverse datasets to identify trends, develop analytical models, measure operational effects, and transform complex information into actionable insights for mission partners and senior decision-makers.
This is an opportunity to combine technical data science expertise with real-world national security missions, working alongside intelligence, operations, research, and technology professionals to help address evolving global threats.
Responsibilities
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Analyze large, complex, and diverse datasets to establish baselines, identify patterns and trends, develop indicators, and support operational decision-making.
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Develop and automate analytic workflows using Python, R, and related data science tools to accelerate data discovery, processing, and analysis.
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Apply statistical and quantitative techniques including regression, hypothesis testing, sampling, longitudinal analysis, network analysis, modeling, and reliability/validity assessment.
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Develop prototypes, scripts, and analytical tools that improve data collection, processing, integration, visualization, and synthesis.
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Apply AI/ML and Natural Language Processing (NLP) techniques to structured and unstructured data, including text, survey responses, social media, and operational reporting.
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Conduct qualitative and mixed-methods analysis using techniques such as thematic coding, classification, sentiment analysis, and NLP-assisted analysis.
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Develop dashboards, visualizations, and analytical products that communicate complex findings to operational leaders and mission stakeholders.
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Integrate analytical findings with intelligence and operational reporting to establish baselines, measure effects, identify emerging trends, and assess OIE/IW activities.
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Manage and optimize analytical datasets, databases, metadata, and longitudinal data to support repeatable analysis and research.
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Apply geospatial analysis and visualization techniques to assess information environment dynamics, geographic patterns, and audience characteristics.
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Leverage social media and publicly available data using automated collection, analytics, AI/ML, and NLP techniques to evaluate reach, behavior, trends, and operational effects.
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Support research and assessment design by developing analytical methodologies, data collection strategies, assessment criteria, and measures of performance and effectiveness.
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Collaborate with multidisciplinary teams across intelligence, operations, technology, and research functions to translate mission requirements into data-driven analytical solutions.
Qualifications:
Required:
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Active TS/SCI clearance
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Bachelor’s degree in technical, analytic, or operational discipline
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5+ years of experience in software development, data engineering, analytics, or mission system integration
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Hands-on experience with at least one enterprise data platform (e.g., Foundry, GAIA, AWS/Azure, GCP, or similar)
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Demonstrated ability to build or maintain data pipelines, workflows, dashboards, or analytic applications
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Basic AI/ML experience suitable for usage of tools such as MAVEN’s AI FDE (no deep ML research required)
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Familiarity with OIE, PSYOP, IO, or intelligence operations (training, previous assignments, or adjacent experience)
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Ability to convert operational requirements into technical tasks and rapidly produce solutions
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Strong communication skills to coordinate with operators, analysts, and mission partners
Desired:
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2+ years direct experience building or sustaining MAVEN workflows, pipelines, or applications
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Strong proficiency in GAIA and Foundry, especially in transformations, routing, ontology usage, and pipeline development
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Advanced full-stack development capabilities (Python, APIs, data transformation, automation, integrations)
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Ability to design AI-supported workflows using AI FDE to accelerate model creation and analytic output
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Deep operational understanding of PSYOP and OIE requirement generation, planning cycles, and product needs
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Experience integrating analytic tools into mission systems such as MAVEN components, dashboards, or planning platforms
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Track record of leading technical teams in fast-paced operational environments
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Additional certification or training related to data engineering, cloud platforms, or operational analytics
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:
$78,000 - $163,800
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.
How this job compares
Set against the 4,931 open Data Scientist jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This posting$78–164K/yr
- Florida median$116–228K/yr96 salary ranges
- US median$133–215K/yr3,922 salary ranges
This range's midpoint, $121K, is 27% below the Florida median midpoint ($166K) — in the lowest quarter of Data Scientist salary ranges in Florida.
- Openings
- Olive Jobs lists 118 open Data Scientist jobs in Florida and 4,931 across the US. 5% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (4,239 postings).
- Education
- This posting asks for a bachelor's degree; 2,823 of the 4,931 open Data Scientist jobs (57%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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