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# Data Scientist 3

- **Company:** Lentech, Inc
- **Location:** Linthicum Heights, MD, United States
- **Experience:** Experienced
- **Salary:** $209,339.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Cloud Engineering, Cyber Security, Databases, Information Engineering, Extract Transform Load (ETL), R (Programming Language), Systems Analysis, Python (Programming Language), MATLAB, SAS (Software), Scripting, Information Technology
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-3-linthicum-md--cc998a27-3a6e-4e35-b5b9-bede7d6514ae

## About the Role

Data Science, Data Science, Security Analysis, Computer Security, Systems Analysis, System Lifecycle, Access Authorization, Python Programming/Scripting Language, Data Quality, Project Tracking, * 10 years analyzing datasets and developing analytics

 * 10 years programming in R, Python, SAS, or MATLAB, * Bachelor's in a quantitative field (statistics, mathematics, operations research, engineering, or computer science) -Plus 2 additional years of relevant experience (12 years total) (software/cloud development, data analysis, or analytics development)
 * OR a Bachelor's and Master's degree (or higher) in a quantitative field (statistics, mathematics, operations research, engineering, or computer science) with no additional years of experience.
 * PhD can replace 4 years of the experience requirement (reducing to 6 years)

## 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
 * 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.