Data Scientist (NH-3)

Legato, LLC•Annapolis Junction, MD

8d•$220,000 - $240,000•Onsite

About The Position

The Data Scientist will join a mission-driven team focused on transforming a traditionally manual system security evaluation process into an automated, efficient, and intelligence-driven model. In this role, the successful candidate will develop and enhance automated capabilities that replace manual security evaluation and authorization processes, leveraging data science, analytics, and artificial intelligence to improve efficiency, consistency, and scalability. The Data Scientist will use Python to process, analyze, and visualize security-related data while ensuring systems and resources meet security requirements. This individual will define data anomalies and outliers, assess patterns through statistical analysis, and identify system and resource associations based on attributes and known system information. The role will also involve designing, building, and maintaining ETL pipelines to collect and integrate data from multiple sources, including known sensors, security tools, compliance databases, and other enterprise data sources. Additionally, the Data Scientist will transform and prepare data for reporting, analysis, and automated assessments; support data engineering operations involving data quality checks, pipeline monitoring, workflow optimization, and timely delivery of security insights; and enable scalable, reliable dataflows that support continuous monitoring and RMF automation.

Requirements

Ten (10) years of experience analyzing datasets and developing analytics
Experience programming in Python, SAS, or MATLAB
Experience designing, developing, and implementing ETL pipelines
Experience cleaning, transforming, and preparing data for analysis
Experience developing, tuning, and testing predictive models
Experience creating analytics dashboards, visualizations, and charts
Experience with Elastic
Experience with machine learning
Experience with Natural Language Processing (NLP)
Experience with regression and predictive analysis
Experience with Python
Experience with MATLAB or R
Experience with SQL or MongoDB
Experience with Jupyter Notebook or Google Colab
Bachelor's degree in a quantitative field such as statistics, mathematics, operations research, engineering, computer science, or a related discipline
Master's degree in a quantitative field such as statistics, mathematics, operations research, engineering, computer science, or a related discipline
Ten (10) years of experience plus a Bachelor's and Master's degree are required
Candidates without a Master's degree must have at least twelve (12) years of relevant experience
A Ph.D. may count as four (4) years of experience
TS/SCI w/ Polygraph Security Clearance

Responsibilities

Develop and enhance automated capabilities that replace manual security evaluation and authorization processes.
Leverage data science, analytics, and artificial intelligence to improve efficiency, consistency, and scalability.
Use Python to process, analyze, and visualize security-related data.
Ensure systems and resources meet security requirements.
Define data anomalies and outliers.
Assess patterns through statistical analysis.
Identify system and resource associations based on attributes and known system information.
Design, build, and maintain ETL pipelines to collect and integrate data from multiple sources.
Transform and prepare data for reporting, analysis, and automated assessments.
Support data engineering operations involving data quality checks, pipeline monitoring, workflow optimization, and timely delivery of security insights.
Enable scalable, reliable dataflows that support continuous monitoring and RMF automation.