ME00593-Data Scientist

Job Summary

• Seeking a Data Scientist to support mission-critical cybersecurity efforts by developing advanced analytics to detect, analyze, and mitigate emerging threats to critical U.S. systems
• The ideal candidate will work in a collaborative environment with software engineers and threat analysts, this role focuses on modeling complex, multi-source data to generate actionable intelligence
• The ideal candidate will apply statistical, machine learning, and graph-based techniques to transform large, disparate datasets into scalable solutions that enhance threat detection and prevention capabilities

Primary Responsibilities

• Develop and implement statistical, machine learning, and graph-based algorithms to analyze complex cybersecurity datasets
• Clean, normalize, and structure disparate data sources from globally distributed environments
• Translate mission needs and qualitative analyst processes into quantitative models and software prototypes
• Create data visualizations and analytic outputs for both technical and non-technical stakeholders
• Design and implement descriptive and predictive analytics to support threat detection and response
• Evaluate and validate model performance using standard metrics and analytic techniques
• Guide and support development of scalable analytics solutions for large datasets
• Collaborate with cybersecurity analysts, software engineers, and cloud teams to transition analytics into production
• Develop and maintain data pipelines and workflows supporting continuous analysis and model improvement
• Support cybersecurity missions by contributing to threat intelligence generation and analysis
• Apply knowledge of networking and adversary tradecraft to enhance analytic models and insights

Required Qualifications

• Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
• Bachelor’s degree in Statistics, Mathematics, Computer Science, or related quantitative field (advanced degrees may substitute for experience)
• 7+ years of experience in two or more of the following:
• • Machine learning or artificial intelligence
  • Data mining or advanced analytics
  • Statistical modeling
  • Software engineering with data analysis tools (e.g., Python, R, SAS, MATLAB)
• Proficiency in Python and Jupyter Notebooks
• Experience with SQL and relational databases
• Experience with ElasticSearch, Kibana, or OpenSearch
• Understanding of networking concepts within a cybersecurity environment
• Experience working with analyst teams to develop data visualizations and insights

Desired Qualifications

• Experience with graph analytics, data pipelines, and IP-based network data
• Familiarity with Java
• Experience with Windows Server management and Power BI Report Service
• Background supporting cybersecurity missions and threat intelligence analysis
• Understanding of adversary tactics, techniques, and procedures (TTPs)

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.