This position requires a security clearance. All candidates must be US Citizens capable of obtaining a U.S. security clearance.Position OverviewWe are seeking a highly skilled Data Engineer / Data Scientist to support mission-critical analytics initiatives at Scott Air Force Base. This role supports enterprise-level decision-making by designing, developing, and deploying advanced data solutions that enable operational insight across complex defense systems.
You will work hands-on across the full data lifecycle, leveraging modern tools and techniques including machine learning, statistical modeling, and large-scale data engineering to deliver impactful, mission-aligned solutions.
What You'll DoData Engineering & Advanced Analytics- Design, build, and maintain scalable data pipelines and analytics solutions across large and complex datasets
- Apply advanced analytical methods including statistical modeling, optimization, machine learning, and predictive analytics
- Develop data products using modern technologies (e.g., Python, SQL, cloud platforms, big data frameworks)
- Integrate structured and unstructured data to support operational and strategic decision-making
Full Data Lifecycle Ownership- Execute the end-to-end data science lifecycle:
- Problem definition
- Data acquisition and preparation
- Exploratory analysis and feature engineering
- Model development and validation
- Deployment, monitoring, and continuous improvement
Solution Development & Innovation- Research, evaluate, and implement emerging analytics tools and technologies
- Develop automated and scalable solutions using cloud platforms, APIs, and data services
- Identify patterns, trends, and anomalies in high-volume datasets to inform mission outcomes
Mission & Stakeholder Support- Collaborate closely with government stakeholders, program teams, and cross-functional partners
- Translate complex technical findings into actionable insights for leadership
- Support mission planning, logistics, and operational analytics initiatives
Required Qualifications- Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field
- 1+ years of experience in data engineering, data science, or advanced analytics
- Strong proficiency in:
- Python, SQL (required)
- R or other analytical tools (preferred)
- Experience building and deploying:
- Data pipelines and ETL/ELT processes
- Data models and machine learning solutions
- Exposure to:
- Cloud platforms (AWS, Azure, or GCP)
- Big data tools (Spark, Databricks, Hadoop, etc.)
Preferred Experience- Experience supporting DoD, federal, or defense programs
- Familiarity with logistics, transportation, or operational datasets (USTRANSCOM a plus)
- Background in:
- Machine learning / AI
- Natural language processing
- Optimization or simulation modeling
- Experience working in Agile or project-based environments
Work Environment- Hybrid Potential: 3 days onsite at Scott AFB, IL / 2 days remote
- Collaborative team environment supporting mission-driven work
- Direct engagement with government stakeholders
What Makes This Role Unique- Direct impact on national defense and global logistics operations
- Opportunity to work with large-scale, mission-critical datasets
- Blend of data engineering, analytics, and applied data science
- High visibility with mission stakeholders and leadership
Travel required• Commute to and from Scott AFB, IL
Past experiences that may benefit this role are listed below.• Military Operations
• Tech Industry Experience
• Program / Project Management
