Senior Data and AI Integrator

Posted 28 Days Ago
Be an Early Applicant
Tampa, FL, USA
In-Office
78K-164K Annually
Senior level
Information Technology • Consulting • Defense
The Role
Analyze complex operational and intelligence datasets to identify trends, measure effects, and support national security decision-making. Build automated workflows, data pipelines, dashboards, AI/ML and NLP solutions using Python, R, and enterprise data platforms. Integrate structured, unstructured, geospatial, social media, and operational data into actionable insights while collaborating with intelligence, operations, research, and technology teams. The role requires an active TS/SCI clearance and supports OIE and irregular warfare missions.
Summary Generated by Built In
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

  • Analyze large, complex, and diverse datasets to establish baselines, identify patterns and trends, develop indicators, and support operational decision-making.
  • Develop and automate analytic workflows using Python, R, and related data science tools to accelerate data discovery, processing, and analysis.
  • Apply statistical and quantitative techniques including regression, hypothesis testing, sampling, longitudinal analysis, network analysis, modeling, and reliability/validity assessment.
  • Develop prototypes, scripts, and analytical tools that improve data collection, processing, integration, visualization, and synthesis.
  • Apply AI/ML and Natural Language Processing (NLP) techniques to structured and unstructured data, including text, survey responses, social media, and operational reporting.
  • Conduct qualitative and mixed-methods analysis using techniques such as thematic coding, classification, sentiment analysis, and NLP-assisted analysis.
  • Develop dashboards, visualizations, and analytical products that communicate complex findings to operational leaders and mission stakeholders.
  • Integrate analytical findings with intelligence and operational reporting to establish baselines, measure effects, identify emerging trends, and assess OIE/IW activities.
  • Manage and optimize analytical datasets, databases, metadata, and longitudinal data to support repeatable analysis and research.
  • Apply geospatial analysis and visualization techniques to assess information environment dynamics, geographic patterns, and audience characteristics.
  • Leverage social media and publicly available data using automated collection, analytics, AI/ML, and NLP techniques to evaluate reach, behavior, trends, and operational effects.
  • Support research and assessment design by developing analytical methodologies, data collection strategies, assessment criteria, and measures of performance and effectiveness.
  • Collaborate with multidisciplinary teams across intelligence, operations, technology, and research functions to translate mission requirements into data-driven analytical solutions.

Qualifications:

Required:

  • Active TS/SCI clearance
  • Bachelor’s degree in technical, analytic, or operational discipline
  • 5+ years of experience in software development, data engineering, analytics, or mission system integration
  • Hands-on experience with at least one enterprise data platform (e.g., Foundry, GAIA, AWS/Azure, GCP, or similar)
  • Demonstrated ability to build or maintain data pipelines, workflows, dashboards, or analytic applications
  • Basic AI/ML experience suitable for usage of tools such as MAVEN’s AI FDE (no deep ML research required)
  • Familiarity with OIE, PSYOP, IO, or intelligence operations (training, previous assignments, or adjacent experience)
  • Ability to convert operational requirements into technical tasks and rapidly produce solutions
  • Strong communication skills to coordinate with operators, analysts, and mission partners

Desired:

  • 2+ years direct experience building or sustaining MAVEN workflows, pipelines, or applications
  • Strong proficiency in GAIA and Foundry, especially in transformations, routing, ontology usage, and pipeline development
  • Advanced full-stack development capabilities (Python, APIs, data transformation, automation, integrations)
  • Ability to design AI-supported workflows using AI FDE to accelerate model creation and analytic output
  • Deep operational understanding of PSYOP and OIE requirement generation, planning cycles, and product needs
  • Experience integrating analytic tools into mission systems such as MAVEN components, dashboards, or planning platforms
  • Track record of leading technical teams in fast-paced operational environments
  • Additional certification or training related to data engineering, cloud platforms, or operational analytics
     

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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:

$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.

Skills Required

  • Active TS/SCI security clearance
  • Bachelor's degree in a technical, analytic, or operational discipline
  • 5 or more years of experience in software development, data engineering, analytics, or mission system integration
  • Hands-on experience with an enterprise data platform such as Foundry, GAIA, AWS, Azure, or GCP
  • Experience building or maintaining data pipelines, workflows, dashboards, or analytic applications
  • Basic AI/ML experience suitable for using tools such as MAVEN AI FDE
  • Familiarity with OIE, PSYOP, IO, or intelligence operations
  • Ability to convert operational requirements into technical tasks and rapidly produce solutions
  • Strong communication skills for coordinating with operators, analysts, and mission partners
  • Two or more years of direct experience building or sustaining MAVEN workflows, pipelines, or applications
  • Strong proficiency in GAIA and Foundry, including transformations, routing, ontology usage, and pipeline development
  • Advanced full-stack development capabilities, including Python, APIs, data transformation, automation, and integrations
  • Ability to design AI-supported workflows using AI FDE
  • Deep operational understanding of PSYOP and OIE requirements, planning cycles, and product needs
  • Experience integrating analytic tools into MAVEN components, dashboards, or planning platforms
  • Experience leading technical teams in fast-paced operational environments
  • Additional certification or training related to data engineering, cloud platforms, or operational analytics

CACI International Inc Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CACI International Inc and has not been reviewed or approved by CACI International Inc.

  • Healthcare Strength — Pay is supported by a broad set of health-plan options across multiple national carriers, with telemedicine and tax-advantaged accounts included. Dental and vision choices are also described as multi-option, which strengthens overall coverage breadth.
  • Leave & Time Off Breadth — Flexible Time Off is available for many salaried-exempt roles, while hourly roles accrue PTO, creating multiple time-off pathways by employment class. Paid disability coverage, fixed holidays, and paid leave programs (including parental leave and other leave types) further round out time-off and leave coverage.
  • Retirement Support — Retirement support includes a 401(k) match structure described as 50% up to 8% of pay (effective 4%) and an Employee Stock Purchase Plan with a discount. Tuition reimbursement and certification support also add to the overall rewards package that complements core retirement benefits.

CACI International Inc Insights

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The Company
HQ: Reston, VA
17,673 Employees
Year Founded: 1962

What We Do

CACI’s approximately 23,000 talented employees are vigilant in providing the unique expertise and distinctive technology that address our customers’ greatest enterprise and mission challenges. Our culture of good character, innovation, and excellence drives our success and earns us recognition as a Fortune World's Most Admired Company. As a member of the Fortune 1000 Largest Companies, the Russell 1000 Index, and the S&P MidCap 400 Index, we consistently deliver strong shareholder value. Visit us at www.caci.com.

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