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Lentech Inc.

Data Scientist 3

Lentech Inc. Linthicum, Maryland, United States · $209K–$224K/yr

IT Services and IT Consulting · 51-200 employees

Yesterday
data-scientist Principal (10+ yrs) Full-time United States
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About the role

The Data Scientist will automate manual security evaluation processes and develop intelligence-driven models to support the Risk Management Framework lifecycle. They will design and maintain ETL pipelines to integrate security data and provide actionable insights for continuous monitoring.

What they look for

Python Data Analysis ETL Pipelines Risk Management Framework RMF Security Evaluation Data Engineering Automation Data Quality Security Tools Network Sensors Compliance Databases Analytics Development Cloud Development Statistics Mathematics

Requirements

Candidates must have at least 10 years of experience in data analysis and programming with Python, R, SAS, or MATLAB. A bachelor's degree in a quantitative field is required, with additional experience or advanced degrees accepted as alternatives.

Full 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 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.

Required:• 10 years analyzing datasets and developing analytics

  • 10 years programming in R, Python, SAS, or MATLAB

Education:• 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)

Salary range:   $209,339.00      $223,566.00

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