Data Engineer / Data Scientist

We 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 Do

Data 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, * 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

This position requires a security clearance. All candidates must be US Citizens capable of obtaining a U.S. security clearance., * 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