Analyze complex datasets and apply statistical, quantitative, qualitative, AI/ML, NLP, geospatial, and research methodologies to support national security missions. Develop automated workflows, models, dashboards, visualizations, and analytical tools; manage datasets and metadata; assess information environment and irregular warfare activities; and communicate actionable findings to operational leaders. Collaborate with intelligence, operations, research, and technology teams in classified environments. The summary above was generated by

AI Job Title:

Data Scientist 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 Anticipated Posting End:

There is not an anticipated end date for this posting since applications are needed on an ongoing basis. 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. Required Qualifications 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. Level will be determined based on education, experience, and demonstrated technical expertise. 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. Desired Qualifications 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. This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.

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. Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $82,100-$172,400 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. Read Full Description Similar Jobs TransUnion Data Scientist 18 Days Ago Hybrid 79K-131K Annually Mid level 79K-131K Annually Mid level Big Data

• Fintech
• Information Technology
• Business Intelligence
• Financial Services
• Cybersecurity
• Big Data Analytics Support model risk governance by maintaining policies, documentation, inventories, validation plans, training, and stakeholder communications.

Develop statistical programs and analytical solutions using R, Python, SQL, Hive, Spark, and cloud platforms to analyze large datasets and support credit risk and business intelligence consulting engagements.

Top Skills:

Cloud Computing Hadoop Hive MS Office Pig Python R Spark SQL PwC Data Scientist 5 Days Ago Hybrid Denver, CO, USA 99K-232K Annually Senior level 99K-232K Annually Senior level Artificial Intelligence

• Professional Services
• Business Intelligence
• Consulting
• Cybersecurity
• Generative AI Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients.

Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.

Top Skills:

AWS Cloud Platforms Data Pipelines Databricks Deep Learning GCP Java Machine Learning Libraries Azure Natural Language Processing (Nlp) Neural Networks Python Snowflake Coursera + Udemy Senior Data Scientist 2 Days Ago Remote or Hybrid United States 132K-166K Annually Senior level 132K-166K Annually Senior level Artificial Intelligence

• Consumer Web
• Edtech
• Enterprise Web
• HR Tech
• Social Impact
• Generative AI The Senior Data Scientist supports Customer Success through deep-dive analysis, predictive modeling, causal inference, experimentation, and KPI development.

The role analyzes churn, retention, renewals, upsell opportunities, and revenue trends; diagnoses metric shifts; builds data pipelines and dashboards; and develops AI/LLM-powered solutions. The scientist collaborates with stakeholders, communicates insights, improves data quality, and measures the impact of customer success initiatives and product changes.

Top Skills:

A/B Testing AI Airflow Causal Inference Dbt Forecasting Large Language Models (Llms) Machine Learning Python Regression Sigma SQL Tableau What you need to know about the Colorado Tech Scene With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech Number of Tech Workers:

260,000; 8.5% of overall workforce (2024 CompTIA survey)

Major Tech Employers:

Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3

Key Industries:

Software , artificial intelligence , aerospace , e-commerce , fintech , healthtech

Funding Landscape:

$4.9 billion in VC funding in 2024 (Pitchbook)

Notable Investors:

Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures Research Centers and Universities:

Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute