Senior Data Scientist

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

Job summary

Jobtailor seeks a data analytics professional to automate the security evaluation and authorization processes across the project lifecycle. You will use Python to process data and determine resource security, while identifying outliers and tracking progress through the Risk Management Framework lifecycle.

You will design, develop, and maintain ETL pipelines to extract, transform, and load security and compliance data from multiple sources, supporting continuous monitoring and automated

Qualifications

• Bachelor's and Master's degree or higher in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).
• Ten years of experience analyzing datasets and developing analytics.
• Ten years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
• Additional two years of experience in software development, cloud development, analyzing datasets, or developing analytics can substitute for a Master’s degree.
• A PhD can substitute for four years of experience.

Responsibilities

• Develop capabilities to shift from the current manual system security evaluation to automation-focused model.
• Leverage Python as a primary language to process data and determine resource security.
• Identify outliers to track system progress through the Risk Management Framework lifecycle.
• Determine which System a Resource belongs to based on attributes of the identified Resource.

Skills

Python

ETL pipelines

Data analysis

Statistical analysis

Predictive modeling

Data quality validation

Pipeline monitoring

Data transformation

Data reporting

Analytics

Education

Bachelor's and Master's degree or higher in quantitative discipline

PhD in a quantitative discipline

Job description

Responsibilities

• 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.

Requirements

• TS/SCI with a Polygraph
• 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.
• 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.
• A PhD from an accredited college or university in a quantitative discipline can be substituted for four years of experience.
• Background in statistical analysis.
• Experience with building, tuning, and testing predictive models.
• Experience creating analytic charts and dashboards.

Hard Skills

• Python
• ETL pipelines
• Data analysis
• Statistical analysis
• Predictive modeling
• Data quality validation
• Pipeline monitoring
• Data transformation
• Data reporting
• Analytics

Certifications & Qualifications

• TS/SCI with a Polygraph