Data Scientist III

Black Eagle Defense; Jessup (MD); On-site; USD 190,000 - 260,000; Full time

Job summary

Black Eagle Defense is seeking a Data Scientist to advance the Secure the Enterprise initiative, shifting from manual security evaluation to a model emphasizing automation, continuous monitoring, and data-driven decisions.

Responsibilities include developing ML/analytic algorithms, building ETL pipelines, and deploying prototypes into production to support analyst workflows and automated assessments.

Qualifications

• Background in statistical analysis
• Experience with building, tuning, and testing predictive models
• Experience creating analytic charts and dashboards

Responsibilities

• Leverage Python as a primary language to process data to determine if resources and systems are secure
• Look for outliers to track the progress of systems through the Risk Management Framework lifecycle
• Identify System a Resource belongs to by attributes of the identified resource against known systems
• Design, develop, and maintain ETL pipelines to extract security and compliance data from multiple sources, 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 for timely delivery of security-related data

Skills

Statistics

Predictive models

Dashboards

Tools

Elasticsearch

RegEx

Python

MATLAB

R

SQL

MongoDB

Grafana

InfluxDB

Job description

Job Description

SALARY RANGE $190,000 - $260,000/year.

DUTIES

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.

The Data Scientist is responsible for the following core activities:

• Algorithm Development: Create machine learning, statistical, data mining, and graph-based algorithms to interpret complex datasets.
• Model Selection: Evaluate multiple prototype algorithms and select a final model based on relevant performance metrics.
• Data Generation: Construct experiments or models to generate necessary data when standard training or example datasets are missing.
• Reporting and Visualization: Develop reports and visual tools that summarize data findings to provide clients with actionable, data-driven insights.
• Process Automation: Collaborate with subject matter experts to convert manual data analysis methods into automated analytic solutions.
• Operational Integration: Deploy prototype algorithms into production systems to ensure they are integrated effectively into analyst workflows.

Essential Duties And 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.

Required Skills

• Background in statistical analysis
• Experience with building, tuning, and testing predictive models
• Experience creating analytic charts and dashboards

Desired Skills

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