**Active TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance.
Telework: None
Basic Requirements:
- Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).
- 10 years of experience analyzing datasets and developing analytics
- 10 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
Job Description:
- As part of the Secure the Enterprise initiative, develop capabilities to shift from the current manual system security evaluation and authorization process to a new model that emphasizes automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the entire life cycle of a project.
Essential Duties and Responsibilities:
- Leverage Python as a primary language to process data to accurately determine if resources and systems are secure
- Look for outliers to help track the progress of systems through the Risk Management Framework lifecycle.
- Identify which System a Resource belongs to determine by various attributes of the identified lost Resource against known potential System information.
- Design, develop, and maintain ETL pipelines to extract security and compliance data from multiple sources (network sensors, security tools, compliance databases), transform the data for analysis and reporting, and load it into target data repositories to support continuous monitoring and automated assessments.
- Support data engineering operations including data quality validation, pipeline monitoring, and optimization of data workflows to ensure reliable, scalable, and timely delivery of security-related data for Risk Management Framework automation and decision-making.
Required Experience:
- Background in statistical analysis
- Experience with building, tuning, and testing predictive models
- Experience creating analytic charts and dashboards
Desired Experience:
- Elasticsearch
- RegEx
- Machine learning
- Natural Language Processing
- Regression and predictive analysis
- Python
- MATLAB or R
- SQL or Mongodb
- Metric Database (Grafana/Graphite/InfluxDB)
Salary: $220,000 - $230,000 annually
Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents - available day 1, 8% 401(k) employer match - immediate vesting.
Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure.
This is a full time position
