The Air Force Life Cycle Management Center, Unified Platform (UP) program office (AFLCMC/HNCP), is responsible for developing and sustaining a cloud-based platform that enables cyber operations across the Department of Defense (DoD). UP requires Contractor support to coordinate and integrate work across legacy Big Data Platforms (BDPs), also known as Unified Platform Data Nodes (UPDNs). UP also requires Contractor support to enhance and develop new applications, analytics, and services for UP and to modernize capabilities as defined by United States Cyber Command (USCYBERCOM) through an agile, evolving requirement identification and prioritization process.

The Quantitative Software Engineer develops software to execute quantitative methods against large data sets. This will all be in support of UP development and modernization requirements span the entire software life cycle (exploration, development, operations, and sustainment) and use a modular design philosophy, where functional components may be aligned in four separate layers (applications, shared and common services, data, and IT infrastructure) with security embedded throughout

• 5 years of experience and Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• Proficiency in at least one data analysis programming language such as Python, R, or equivalent
• Solid experience in applying statistical techniques such as regression, clustering, etc.
• Strong knowledge of databases, data modeling, and data structures
• Experience with data visualization tools like Tableau, PowerBI, or similar
• Excellent problem-solving skills and attention to detail
• Experience with Cloud-based systems and/or AI/Machine Learning Development

• Security
• Proficiency with machine learning algorithms and predictive modeling
• Knowledge of cloud-based data science tools such as AWS, GCP, or Azure
• Familiarity with data pipeline tools like Airflow, Luigi, etc.
• Excellent communication skills to effectively share insights and work cross-functionally
• Master's degree in Computer Science, Engineering, Mathematics, or a related field