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CACI International Inc

Data Scientist

CACI International Inc

. Develop and apply mathematical and statistical theory to collect, organize, interpret, and summarize numerical data .

Posted 11/2/2026full-timeUnited StatesJuniorMid-Level💰 $82,100 - $172,400 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in data analysis, statistical methods, and machine learning, with proficiency in Python and SQL for data manipulation. Capable of producing insightful reports and visualizations while ensuring data accuracy and discoverability.

Highest-signal resume keywords
Python ProgrammingSQL Data AnalysisMachine LearningNatural Language ProcessingAWS Cloud Environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Statistical AnalysisData CleansingData CollectionQuantitative AnalysisQualitative AnalysisDashboard CreationData VisualizationAnalytical ReportingTF-IDF MethodologyFastText Methodology
Soft Skills
Independent WorkGuidance of Junior EmployeesCommunication of Insights
Tools & Technologies
TableauTerraformAnsibleAWS
Certifications & Qualifications
AWS CertificationActive TS/SCI Clearance
Industry Keywords
Defense IntelligenceAll Source AnalysisCounterintelligenceTransnational Mission SetsBusiness Analytics

Tech Stack

Tools & technologies
AnsibleAWSCloudPythonSQLTableauTerraformTypeScript

About the role

Key responsibilities & impact
  • Develop and apply mathematical and statistical theory to collect, organize, interpret, and summarize numerical data
  • Support Defense Intelligence All Source Analysts across political military, infrastructure, military capability, advanced all-source methods, counterintelligence, and transnational mission sets
  • Plan and perform data collection and processing
  • Organize information and check for inaccuracies
  • Design, test, install, maintain, operate, and develop Python, SQL, and other programming or scripting solutions
  • Produce analytical results in graphs, charts, tables, and metrics using tools such as Tableau
  • Prepare written and visual products documenting findings and research
  • Ensure discoverability of business analytics reporting through webpages and dashboards
  • Create new dashboards as needed
  • Develop and refine quantitative, qualitative, and business analysis skills
  • Explore and operationalize data sources using scientific processes and technologies
  • Uncover and communicate product and business insights
  • Apply functional and general industry knowledge
  • Develop or contribute to solutions to moderately scoped and complex problems
  • Work independently with some guidance
  • Review or guide activities of more junior employees

Requirements

What you’ll need
  • Bachelor’s degree and 5+ years of directly related experience, or Master’s degree and 2+ years directly related experience
  • Years of experience may be accepted in lieu of degree for certain roles
  • Certifications may be accepted in lieu of a degree for certain technical roles
  • Experience using Python and SQL to manipulate and analyze data
  • Experience with machine learning, data cleansing, and statistical analysis
  • Experience analyzing structured and unstructured data sources
  • Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
  • Ability to create reports and present key insights based on analysis
  • Knowledge of Natural Language Processing (NLP)
  • Experience implementing NLP methodologies such as TF-IDF or FastText
  • Experience programming in an AWS cloud environment
  • Active/current TS/SCI with ability to obtain and maintain a Polygraph is required
  • AWS certification preferred
  • Experience with Terraform or Ansible preferred
  • Experience with a continuous delivery machine-learning project preferred

Benefits

Comp & perks
  • Competitive benefits
  • Learning and development opportunities
  • Flexible time off benefit
  • Robust learning resources
  • Healthcare benefits
  • Wellness benefits
  • Financial benefits
  • Retirement benefits
  • Family support benefits
  • Continuing education benefits
  • Time off benefits
  • Flexible work arrangements supporting work-life balance