EOA Technologies is seeking a Data Scientist on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer.

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.

To be considered for this position you must have the following:

• Possess an active TS/SCI with Polygraph security clearance
• Background in statistical analysis
• Experience with building, tuning, and testing predictive models
• Experience creating analytic charts and dashboards
• Desired: Elasticsearch, RegEx, Machine learning, Natural Language Processing, Regression and predictive analysis, Python, MATLAB or R, SQL or Mongodb, Metric Database (Grafana/Graphite/InfluxDB)
• Ten (10) years' experience analyzing datasets and developing analytics.
• 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). 

Employment decisions are based solely on qualifications, merit, and business needs - not on any protected characteristic. EOA Technologies, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, ancestry, marital status, religious affiliation, hairstyle, or any other characteristic protected by federal, state or local laws. EOA is committed to providing reasonable accommodations when feasible to individuals with disabilities.