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Data Scientist
CACI International Inc. Analyze large, complex, and diverse datasets to establish baselines, identify patterns and trends, develop indicators, and support operational decision-making .
Posted 9/18/2026full-timeTampa • Colorado • United StatesMid-LevelSenior💰 $82,100 - $172,400 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, statistical methodologies, and machine learning techniques, with a strong ability to develop visualizations and analytical products that inform operational decision-making. Proficient in Python and R for data processing and automation, with experience in managing complex datasets and integrating findings with intelligence and operational reporting.
Highest-signal resume keywords
Python ProficiencyStatistical AnalysisMachine Learning ApplicationData Visualization DevelopmentTS/SCI Clearance
ATS Keywords
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Hard Skills
Data AnalysisStatistical MethodologiesRegression AnalysisHypothesis TestingLongitudinal AnalysisNLP TechniquesGeospatial AnalysisAutomated Data CollectionData Management PracticesMixed-Methods Research
Soft Skills
Analytical Problem-SolvingCommunication Skills
Tools & Technologies
TableauPower BIArcGISQGISGeoPandasAPIsWeb ScrapingAI/ML ToolsData Science ToolsBusiness Intelligence Platforms
Certifications & Qualifications
DoD 8570/8140 IAT Level II CertificationSecurity+CySA+CCNA Security
Industry Keywords
Intelligence CommunityCombatant CommandOperations in the Information EnvironmentIrregular WarfareNational Security Missions
Tech Stack
Tools & technologiesPythonTableauTypeScript
About the role
Key responsibilities & impact- 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
- 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 for data collection, processing, integration, visualization, and synthesis
- Apply AI/ML and Natural Language Processing (NLP) techniques to structured and unstructured data
- Conduct qualitative and mixed-methods analysis including thematic coding, classification, sentiment analysis, and NLP-assisted analysis
- Develop dashboards, visualizations, and analytical products for 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
- Apply geospatial analysis and visualization techniques
- Leverage social media and publicly available data using automated collection, analytics, AI/ML, and NLP techniques
- Support research and assessment design through analytical methodologies, data collection strategies, assessment criteria, and measures of performance and effectiveness
- Collaborate with multidisciplinary intelligence, operations, technology, and research teams to translate mission requirements into data-driven analytical solutions
Requirements
What you’ll need- Bachelor’s degree in data science, Statistics, Computer Science, Mathematics, Engineering, Operations Research, Economics, or another quantitative or analytical discipline
- TS/SCI clearance
- 3+ years relevant professional experience conducting quantitative, qualitative, statistical, or data science analysis in operational, intelligence, research, or similarly complex environments
- Proficiency with Python and/or R for statistical analysis, data processing, automation, modeling, or analytical tool development
- Experience applying statistical or data science methodologies such as regression, hypothesis testing, sampling, longitudinal analysis, clustering, classification, or predictive modeling
- Experience working with structured, semi-structured, and/or unstructured datasets
- Experience developing data visualizations, dashboards, or analytical products that translate complex findings into actionable insights
- Experience with data management practices, including maintaining analytical datasets, databases, metadata, or longitudinal data
- Ability to integrate quantitative findings with operational, intelligence, research, or assessment information
- Strong analytical and problem-solving skills with the ability to communicate technical findings to both technical and non-technical audiences
- Ability to obtain a DoD 8570/8140 IAT Level II certification within 90 days of hire, if required by the position
- Prior experience supporting DoD, Intelligence Community (IC), Combatant Command (COCOM), or other national security missions
- Experience supporting Operations in the Information Environment (OIE), Irregular Warfare (IW), information operations, intelligence, or operational assessment missions
- Experience developing or applying machine learning models, NLP pipelines, generative AI, or other advanced analytics capabilities
- Experience with automated data collection, web scraping, APIs, or social media analytics
- Experience with geospatial analysis tools and technologies such as ArcGIS, QGIS, GeoPandas, or other Python geospatial libraries
- Experience with data visualization or business intelligence platforms such as Tableau, Power BI, Plotly, or similar tools
- Familiarity with operational assessment frameworks, including Measures of Performance (MOPs), Measures of Effectiveness (MOEs), and Measures of Effectiveness Indicators (MOEIs)
- Experience with research design, experimental or quasi-experimental methods, survey analysis, or mixed-methods research
- Current Security+, CySA+, CCNA Security, or equivalent DoD 8570/8140 certification
- Experience operating in NIPR, SIPR, JWICS, or other classified environments
Benefits
Comp & perks- Flexible time off benefit
- Robust learning resources
- Healthcare benefits
- Wellness benefits
- Financial benefits
- Retirement benefits
- Family support benefits
- Continuing education benefits
- Time off benefits
- Competitive compensation
- Learning and development opportunities