Employ advanced statistical methods and machine learning techniques to analyze complex datasets, uncovering deep patterns and root causes
Architect, build, and maintain robust, end-to-end data pipelines to ensure seamless data collection, integration, and storage
Design, develop, and deploy predictive algorithms and automated machine learning models into production environments to optimize network operations
Analyze large, unstructured, and undefined data sets to solve unique technical challenges where information is difficult to obtain
Lead complex, cross-functional project initiatives to address strategic business needs in cybersecurity, compliance, and network modernization
Present highly technical findings and strategic recommendations to senior and executive leadership in a clear and actionable manner
Provide expert guidance, coaching, and mentorship to technical staff across the organization to drive the adoption of data-driven practices
Conceptualize and implement innovative data products, processes, and standards that establish mid-term operational plans for the broader organization
Stay updated on the latest advancements in data engineering architecture, machine learning MLOps, and data science best practices

Must possess an active TS/SCI security clearance with the ability to obtain a polygraph
Bachelor’s degree in data science, computer science, statistics, mathematics, engineering, or a related field
10+ years of relevant work experience
Must hold a current DoD 8570 IAT Level II certification (e.g., Security+ CE)
Proficient understanding of data governance and security best practices
Proven proficiency in Python, R, and SQL for advanced data manipulation, pipeline creation, and model development
Extensive hands-on experience designing and deploying scalable data architecture, databases, and automated data engineering workflows
Deep expertise in machine learning, predictive modeling, data mining techniques, and deploying models into production environments
Proven ability to conduct extensive investigations to understand the root cause of undefined problems
Experience conceptualizing and communicating with executive leadership regarding matters of significant strategic importance

Senior Data Scientist / Machine Learning Engineer

Key skills