Data Scientist 3

Lentech Inc. • Linthicum, MD

2d • $209,000 - $225,000

About The Position

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. 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 determined 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.

Requirements

• Active and current TS.SCI w FSP through MD
• Background in statistical analysis
• Experience with building, tuning, and testing predictive models
• Experience creating analytic charts and dashboards
• Ten years of experience analyzing datasets and developing analytics
• Ten years of experience programming with data analysis software such as R, Python, SAS, or MATLAB

Nice To Haves

• Elasticsearch
• RegEx
• Machine learning
• Natural Language Processing
• Regression and predictive analysis
• Python
• MATLAB or R
• SQL or Mongodb
• Metric Database (Grafana/Graphite/InfluxDB)

Responsibilities

• Develop capabilities to shift from manual system security evaluation and authorization to a new model emphasizing automation, streamlined processes, continuous monitoring, and network data gathering.
• Process data using Python to determine resource and system security.
• Identify outliers to track system progress through the Risk Management Framework lifecycle.
• Identify which System a Resource belongs to based on resource attributes and known system information.
• Design, develop, and maintain ETL pipelines to extract, transform, and load security and compliance data from various sources.
• Support data engineering operations including data quality validation, pipeline monitoring, and workflow optimization.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior