Data Scientist III

Reflexive Concepts; Linthicum (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Reflexive Concepts is seeking a skilled Data Scientist III to join our team in Maryland. The role focuses on moving from manual security evaluations toward automated, continuous monitoring and data-driven decisions within the Risk Management Framework.

You will leverage Python to process data, build ETL pipelines from multiple sources, and develop analytics to track system security and compliance throughout project lifecycles.

Qualifications

• 22 years of experience supporting projects and programs similar in scope and complexity.
• Bachelor's Degree in a related field.
• 10 years analyzing datasets and developing analytics.
• 10 years programming in R, Python, SAS, or MATLAB.

Responsibilities

• Develop capabilities to shift from the current manual system security evaluation and authorization process to a new model emphasizing automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the life cycle of a project.
• Leverage Python as a primary language to process data to determine if resources and systems are secure.
• Identify outliers to help track the progress of systems through the Risk Management Framework lifecycle.
• Identify which system a resource belongs to based on attributes of the identified resource against known system information.
• Design, develop, and maintain ETL pipelines to extract security and compliance data from multiple sources, transform the data for analysis and reporting, and load it into target 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 delivery of security-related data for Risk Management Framework automation and decision-making.

Skills

Data analysis

Python

R

SAS

Machine learning

Natural Language Processing

Statistical analysis

SQL

Education

Bachelor's degree in a related field

Tools

Elasticsearch

RegEx

MATLAB

MongoDB

Grafana

InfluxDB

Job description

Reflexive Concepts is seeking a skilled Data Scientist III to join our team!

Qualifications:

• Twenty-two (22) years of experience supporting projects and programs similar in scope and complexity
• Bachelors Degree in a related field

Duties and Responsibilities:

• 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 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:

• 10 years analyzing datasets and developing analytics
• 10 years programming in R, Python, SAS, or MATLAB

Desired:

• Strong background in statistical analysis
• Experience developing, tuning, and testing predictive models
• Proficiency in creating analytic dashboards, visualizations, and charts
• Elasticsearch
• RegEx
• Machine learning
• Natural Language Processing
• Regression and predictive analysis
• MATLAB or R
• SQL or MongoDB
• Metric database (Grafana/Graphite/InfluxDB)