Data Scientist 3

Lentech Inc.; Linthicum (MD); On-site; USD 110,000 - 160,000; Full time

Job summary

Lentech Inc. is seeking a Data Scientist to join a mission-driven team focused on transforming a manual system security evaluation process into an automated, intelligent model.

The role will support continuous monitoring, rapid decision making, and strengthened security across the full lifecycle of critical systems and projects. You will develop automated capabilities, use Python to process and validate security data, and design ETL pipelines to integrate data from multiple sources.

Qualifications

• Experience building automated security evaluation systems.
• Ability to transform manual processes into automated workflows.
• Strong Python data processing and validation skills.
• Experience with RMF lifecycle is a plus.

Responsibilities

• Join a mission-driven team to automate the security evaluation process.
• Support continuous monitoring and rapid decision making.
• Develop automated capabilities to replace manual security processes.
• Use Python to process and validate security data.
• Detect anomalies to assess RMF lifecycle progress.
• Identify system associations based on attributes and known information.
• Design and maintain ETL pipelines from multiple sources.
• Prepare data for reporting and automated assessments.

Skills

Python

Data analysis

ETL pipelines

RMF lifecycle

Job description

Responsibilities

• 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


• 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 include incide> 808959xfa9623c id= on hkgj