Data Scientist 3

Lentech, Inc.; Linthicum (MD); On-site; USD 100,000 - 130,000; Full time

Job summary

Lentech, Inc. in Linthicum, MD is seeking a skilled professional to develop automated capabilities for security evaluations as part of their Secure the Enterprise initiative. This role requires leveraging Python for data processing and developing ETL pipelines to manage security data from various sources.

Ideal candidates have strong backgrounds in statistical analysis and predictive modeling, with a Bachelor's and Master's degree in quantitative disciplines, along with active TS.SCI clearance. The position presents an opportunity to contribute meaningfully to system security and compliance.

Qualifications

• Active and current TS.SCI w FSP through MD.
• Background in statistical analysis.
• Experience with building, tuning, and testing predictive models.
• Experience creating analytic charts and dashboards.

Responsibilities

• Develop capabilities for automated system security evaluations.
• Use Python for data processing to ensure resource security.
• Design and maintain ETL pipelines for security and compliance data.
• Support data engineering operations for reliable data delivery.

Skills

Statistical analysis

Predictive modeling

Analytic charts and dashboards

Python

Data engineering

ETL processes

Education

Bachelor's and Master's degree in a quantitative discipline

Tools

R

SAS

MATLAB

SQL

MongoDB

Elasticsearch

Grafana

Graphite

InfluxDB

Job description

Description

• As part of the Secure the Enterprise initiative, develop capabilities to shift from the current manual system security evaluation and authorization process to a new model that emphasizes automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the entire life cycle of a project.
• 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

• Active and current TS.SCI w FSP through MD
• Background in statistical analysis
• Experience with building, tuning, and testing predictive models
• Experience creating analytic charts and dashboards

Desired

• Elasticsearch
• RegEx
• Machine learningNatural Language Processing
• Regression and predictive analysis
• Python
• MATLAB or R
• SQL or Mongodb
• Metric Database (Grafana/Graphite/InfluxDB)

Education

• Bachelor's and Master's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).
• Ten years of experience analyzing datasets and developing analytics, and ten years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
• An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree.