Data Scientist III with Security Clearance
Black Eagle Defense · Jessup, MD · 1 wk ago
Engineering$190k–$260k/yrFull-time
Duties
- Create machine learning, statistical, data mining, and graph-based algorithms to interpret complex datasets.
- Evaluate multiple prototype algorithms and select a final model based on relevant performance metrics.
- Construct experiments or models to generate necessary data when standard training or example datasets are missing.
- Develop reports and visual tools that summarize data findings to provide clients with actionable, data-driven insights.
- Collaborate with subject matter experts to convert manual data analysis methods into automated analytic solutions.
- 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)