Data Scientist

Evlos Technology LLC; Corridor North (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Evlos Technology LLC seeks a Data Scientist to transform manual security evaluation into automated, intelligence-driven models. You will drive continuous monitoring and rapid decision making across critical systems and projects.

You will leverage Python to process, analyze, and validate security data, build RMF-aligned pipelines, and detect anomalies to support RMF activities and security insights.

Qualifications

• Experience using Python to process, analyze, and validate security related data.
• Familiarity with RMF lifecycle and cyber security controls.
• Ability to design and maintain data pipelines for security reporting.

Responsibilities

• Develop and enhance automated capabilities that replace manual security evaluation processes.
• Use Python to process, analyze, and validate security data.
• Detect anomalies and outliers to assess RMF lifecycle progress.
• Identify system associations for resources based on attributes and system info.
• Design, build, and maintain ETL pipelines from multiple sources.

Skills

Python

Data analysis

RMF

ETL pipelines

Data quality

Security data

Tools

ETL tools

Job description

Job Description

Clearance Required: TS/SCI w/ Polygraph

Other Requirements: U.S. Citizenship

Description:

• Data Scientist to join a mission driven team. In this role, you will help transform a traditionally manual system security evaluation process into an automated, efficient, and intelligence driven model. Your work will directly support continuous monitoring, rapid decision making, and strengthened security across the full lifecycle of critical systems and projects.

Essential Duties and Responsibilities:

• Develop and enhance automated capabilities that replace manual security evaluation and authorization processes.
• Use Python to process, analyze, and validate security related data, ensuring systems and resources meet security requirements.
• Detect anomalies and outliers to assess progress through the Risk Management Framework (RMF) lifecycle.
• Identify system associations for resources based on various attributes and known system information.
• Design, build, and maintain ETL pipelines to collect and integrate data from multiple sources (network sensors, security tools, compliance databases).
• Transform and prepare data for reporting, analysis, and automated assessments.
• Support data engineering operations including data quality checks, pipeline monitoring, workflow optimization, and timely delivery of security insights. Enable scalable, reliable dataflows that support continuous monitoring and RMF automation.