Operations Research Scientist / Data Scientist

Senior Data Scientist We are seeking a highly skilled and mission-driven Data Scientist to support a Air Force program operating within a secure Data Center environment. This role involves developing AI models, building a scalable data lake engine using platforms like Cloudera and tools like Tableau, while contributing to cybersecurity initiatives through automation and compliance. Design, train, and deploy AI/ML models to support program objectives • Build and maintain a secure, scalable data lake architecture using Cloudera • Develop interactive dashboards and visualizations using Tableau • Identify and implement use cases for cybersecurity analytics, including anomaly detection, threat modeling, and behavioral analysis • Create and maintain automation scripts for data ingestion, transformation, and system monitoring • Ensure compliance with DoD STIGs (Security Technical Implementation Guides) and other federal cybersecurity standards • Collaborate with cybersecurity teams to integrate data science outputs into security operations workflows • Document workflows, pipelines, and model performance for transparency and reproducibility • Provide technical guidance and support to stakeholders and leadership Education, Certification & Experience Requirements Bachelor’s or Master’s degree in Data Science, Computer Science, Cybersecurity, or related field Certification Required: • Active Secret Clearance, or the ability to obtain one 3+ years of experience in AI/ML model development and deployment • Hands-on experience with Cloudera, Tableau, and scripting languages (Python, Bash, PowerShell) • Experience identifying and implementing cybersecurity use cases within data environments • Familiarity with STIGs, NIST frameworks, and federal cybersecurity compliance requirements • Strong understanding of data lake architecture, ETL pipelines, and big data frameworks • Knowledge of SIEM platforms and security data integration (Preferred). • Familiarity with containerization (Docker), cloud platforms, and CI/CD pipelines (Preferred). Big data framework: Data Governance & Security Cloud Platform: Experience with AWS, Azure, OCI or Google Cloud. • Statistical analysis and machine learning: Able to build models that leverage data lake for predictive insights • Optimization & performance tuning. Understand how to improve query performance and storage efficiency