Responsibilities: • Data Scientist to join a mission driven team. In this role, you will help transform a traditionally manual system security evaluation process into an automated, efficient, and intelligence driven model. • Your work will directly support continuous monitoring, rapid decision making, and strengthened security across the full lifecycle of critical systems and projects • Develop and enhance automated capabilities that replace manual security evaluation and authorization processes. • Use Python to process, analyze, and validate security related data, ensuring systems and resources meet security requirements. • Detect anomalies and outliers to assess progress through the Risk Management Framework (RMF) lifecycle. • Identify system associations for resources based on various attributes and known system information. • Design, build, and maintain ETL pipelines to collect and integrate data from multiple sources (network sensors, security tools, compliance databases). • Transform and prepare data for reporting, analysis, and automated assessments. • Support data engineering operations including data quality checks, pipeline monitoring, workflow optimization, and timely delivery of security insights. • Enable scalable, reliable dataflows that support continuous monitoring and RMF automation. Required: • 10 years analyzing datasets and developing analytics • 10 years programming in R, Python, SAS, or MATLAB Education: • Bachelor's in a quantitative field (statistics, mathematics, operations research, engineering, or computer science) -Plus 2 additional years of relevant experience (12 years total) (software/cloud development, data analysis, or analytics development) • OR a Bachelor's and Master's degree (or higher) in a quantitative field (statistics, mathematics, operations research, engineering, or computer science) with no additional years of experience. • PhD can replace 4 years of the experience requirement (reducing to 6 years) Salary range: $209,339.00 $223,566.00