Data Scientist Level Senior Level

Integrity Technology•Linthicum, MD

20h

About The Position

ITC is a Woman Owned Small Business delivering exceptional consultation to the U.S. Government in Systems/Software Engineering, Cybersecurity Solutions, Mission Operations/INTEL Analysis, and Management Services in order to enable our customers to solve the most challenging problems. With continued growth comes opportunity, and we are currently searching for a Top Secret SCI with polygraph-cleared Senior-Level Data Scientist. 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.

Requirements

TS/SCI with FS Polygraph
Bachelor’s degree from an accredited college or university in Computer Science, Mathematics, or related discipline
Background in statistical analysis
Experience with building, tuning, and testing predictive models
Experience creating analytic charts and dashboards

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

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.