Prodigy One, LLC. is a systems and software engineering services firm providing more than 45 years of service to state and federal customers. By combining unparalleled experience and capabilities, our company provides big data, cloud development, and enterprise management solutions. We are focused on product usability and end user presentation to help our customers make the best decisions possible. Given our length of service in the industry, Prodigy One knows the importance of a competitive salary and benefits package. That's why our total compensation package can be tailored to meet employees personal needs.
A CLEARANCE IS REQUIRED TO BE CONSIDERED FOR THIS ROLEClearance Required: Active TS/SCI clearance with Polygraph
Location: Linthicum Heights, MD
Job Description:We are looking for a Data Scientist, to join our team. 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. Our data scientists will leverage Python as a primary language to process data to accurately determine if resources and systems are secure; will look for outliers to help track the progress of systems through the Risk Management Framework lifecycle; will identify which System a Resource belongs to determined by various attributes of the identified lost Resource against known potential System information; will 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; will 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.
Basic Qualifications: - 10 years of experience.
- Background in statistical analysis
- Experience with building, tuning, and testing predictive models
- Experience creating analytic charts and dashboards
Preferred Qualifications: - :Experience with Elasticsearch
- Experience with RegEx
- Experience with Machine learning
- Experience with Natural Language Processing
- Experience with Regression and predictive analysis
- Experience with Python
- Experience with Metric Database (Grafana/Graphite/InfluxDB)
- Experience with Matlab or R
- Experience with SQL or MongoDB
Education Requirements: - Master's Degree in a quantitative discipline (i.e. statistics, mathematics, operations research, engineering or computer science)
- 2 years experience in software development, cloud development, analyzing datasets, or developing descriptive/predictive/prescriptive analytics can be substituted in lieu of Master's degree.
Benefits: - 10% Employer Contribution to 401K; Immediately Vested
- 5 Weeks Paid Time Off (PTO) up to 7 weeks
- Access to Premium Healthcare/Dental/Vision Available
- $2500+ Training Paid
- Referral Company Profit Sharing
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable law
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