Data Scientist (NH-3)

Legato•Annapolis Junction, MD

6d•Onsite

About The Position

The Data Scientist will 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 assessment and network data gathering across the entire lifecycle of a project. They will 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 be 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

Background in statistical analysis
Experience with building, tuning and testing predictive models
Experience creating analytic charts and dashboards
At least twenty (20) years of relevant experience.
Bachelor's and Master's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).
An additional two (2) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree for a total of eight (8) years experience.
A PhD from an accredited college or university in a quantitative discipline can be substituted for four years of experience, for a total of six (6) years experience.
Security Clearance Required: TS/SCI w/ Polygraph

Nice To Haves

Experience with Elasticsearch
Experience with RegEx
Experience with Machine Learning
Experience with Natural Language Processing
Experience with Regression and predictive analysis
Experience with Python, Matlab or R
Experience with SQL or MongoDB
Experience with Metric Databases (Granfana/Graphite/InfluxDB)

Responsibilities

Develop capabilities to shift from manual system security evaluation and authorization to a new model emphasizing automation, streamlined processes, continuous assessment, and network data gathering.
Leverage Python to process data and determine resource and system security.
Identify outliers to track system progress through the Risk Management Framework lifecycle.
Identify system a resource belongs to based on resource attributes and known system information.
Design, develop, and maintain ETL pipelines to extract security and compliance data from multiple sources.
Transform data for analysis and reporting, and load it into data repositories for continuous monitoring and automated assessments.
Support data engineering operations including data quality validation, pipeline monitoring, and optimization of data workflows.